A Novel Compound for Alcoholism Treatment: A Translational Strategy - Part II
Phase: PHASE2
Conditions: Alcoholism
Sponsor: National Institute on Alcohol Abuse and Alcoholism (NIAAA)

1 
 
Protocol Title: A Novel Compound for Alcoholism Treatment: a Translational Strategy – Part II 
  Protocol Number:  16-DA-0080 
 
Date of This Submission/Version 8/21/2021version 5.3 Amend M 
 
 
 
 
Total requested accrual: 55 subjects  
 
Project Uses Ionizing Radiation:   No       Yes (attach RSC/RDRC documentation) 
  
 
 Medically-indicated only 
  
 
 Research-related only 
  
 
 Both 
 
 
IND/IDE  
 
 
No   
Yes (attach FDA documentation) 
Drug/Device/ # 119,365 (cross-reference Pfizer IND # 110,476) 
Sponsor: National Institute on Alcohol Abuse and Alcoholism (NIAAA): IND Withdrawn by the NIAAA OCD August 2021 
 
Durable Power of Attorney  
 
 No   
 Yes  
 
Multi-institutional Project 
 
 No   
  Yes 
 
 
 
 
 
 
Data and Safety Monitoring Board  
No   
Yes  
 
Technology Transfer Agreement  
× No  
 
Yes  
Agreement type and number 
 
  
 
 
 
 
 
 
 
Samples are being stored  
 
 No   
 Yes  
 
Flesch-Kincaid reading level of consent form: 9.2 

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A. Précis:  
Objective: Ghrelin is a 28-amino acid peptide that stimulates appetite and food intake. It is an endogenous ligand 
for the growth hormone secretagogue receptor (GHSR1a). Preclinical studies suggest that ghrelin modulates alcohol 
reward processing. Previous work from our research team, indicated that intravenous (IV) ghrelin administration, 
compared to placebo, results in an acute increase in alcohol craving during a cue-reactivity experiment in alcoholic 
individuals. Therefore, an oral bioavailable, ghrelin receptor antagonist that is able to pass through the blood brain 
barrier holds particular promise as a treatment for alcohol use disorder (AUD). This protocol is part of a grant 
project funded by National Center for Advancing Translational Sciences (NCATS) aimed to generate preliminary 
evidence in AUD on the safety and efficacy of a ghrelin receptor (GHSR1a) antagonist, PF-05190457, an existing 
molecule available under the NIH-Industry Pilot Program at NCATS. Completed preclinical and clinical (Protocol #14-
AA-0042) work has demonstrated the safety of PF-05190457/alcohol interaction. The goal of this protocol is to 
conduct a proof-of-concept human laboratory study to assess an early-signal of efficacy of PF-05190457 in AUD. 
 
Study population: The study population will be AUD individuals (n = 55). 
Study Design: A within-subject, counterbalanced, double-blind, placebo-controlled study. 
Outcome measures: The primary aim will be to determine whether PF-05190457, compared to placebo, reduces 
alcohol cue-elicited craving. The main secondary aim will be to determine whether PF-05190457, compared to 
placebo, reduces brain blood oxygen level dependent (BOLD) response during exposure to alcohol cues, during a 
task-based fMRI scan. We will also investigate the effects of PF-05190457 on food craving as well as on food choices 
using a “virtual buffet” experimental procedure. All these outcomes will be assessed in the inpatient Unit at the NIH 
CC. After the inpatient portion of the protocol, patients will be followed-up as outpatients. During the outpatient 
phase, patients will be offered motivational interviewing and video feedback to explore the effects of this 
intervention, compared to supportive counseling, on maintaining motivation for alcohol abstinence and inform 
future studies where medications like PF-05190457 and behavioral treatments may be combined. The outpatient 
phase is optional for treatment seeking and nontreatment seeking participants. 

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B. Table of Contents 
 
A. Precis                                                                                                                                                        3 
 
B. Table of Contents 
  4 
 
C. Background 
  5 
 
D. Study Objectives 
17  
E. Study Design and Methods 
F. Inclusion and Exclusion Criteria 
18 
27 
 
G. Collection and Storage of Human Specimens or Data 
29  
H. Statistical Analysis 
30  
I. Human Subjects’ Protection Plan 
30  
J. Protection of Participants’ Privacy and Confidentiality 
33  
K. Study Agents/Interventions 
34  
L. Plan for Reporting Unanticipated Problems and Adverse Events 
36  
M. Data and Safety Monitoring Plan 
36  
N. Clinical Monitoring Plan 
37  
O. Compensation 
37  
P. Scientific References 
39  
Q. Appendices 
49  
 

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C. Background 
 
Statement of the problem: searching for new neuropharmacological targets in alcohol use disorder 
Alcohol use disorder (AUD) afflicts ~10% of the US population, and causes serious morbidity and mortality (Miller et 
al., 2001; NIAAA, 2000). Treatment of AUD consists of psychological, social and pharmacologic interventions 
(Garbutt et al., 1999). When combined with psychosocial treatments, medications can improve outcomes for some 
individuals; however, these treatments are unsuccessful for many others (Heilig & Egli, 2006; Edwards et al., 2011). 
The Food and Drug Administration (FDA) has only approved disulfiram, naltrexone and acamprosate for AUD, and 
all these medications have limited efficacy (Heilig & Egli, 2006; Edwards et al., 2011). Developing new drugs for AUD 
is therefore a high scientific and public health priority. There is a crucial need to identify novel drug targets that may 
lead to the discovery of new effective medications for AUD.  One source of new drug targets comes from research 
on the neurobiology of obesity, as alcohol- and food-seeking behaviors have common features and neural circuits 
(reviewed in Tomasi & Volkow, 2012). While alcoholism, obesity and binge eating are complex conditions with likely 
diverse genetic and environmental contributions to their etiologies (Tomasi & Volkow, 2012), it is notable that 
medications used to treat AUD often result in weight loss. For example, naltrexone, topiramate and ondansetron 
have all been utilized to treat obesity and/or eating disorders (Leggio et al., 2011). Therefore, research focused on 
identifying feeding-related pathways may be of utility in understanding the neurobiology of alcoholism, and may 
yield possible neuropharmacological targets for AUD.  As outlined below, there is an increasing body of evidence for 
the ghrelin system as a novel neuropharmacological target for AUD. 
What is ghrelin and what does it do? 
Ghrelin was first isolated from the stomach (Kojima et al., 1999). It is a 28-amino acid peptide acting as the 
endogenous ligand for the growth hormone secretagogue receptor (GHS-R1a), a G-protein coupled receptor that 
induces growth hormone (GH) release from the pituitary (Kojima et al., 1999). The n-octanoyl bearing ghrelin is 
known as active ghrelin (acylated), although the des-acylated ghrelin is not totally inactive (Stengel & Taché, 2009). 
Ghrelin activates hypothalamic orexigenic neurons and inhibits anorectic neurons to induce hunger (Toshinai et al., 
2003; Solomon et al., 2005); accordingly, intracranial ghrelin administration stimulates feeding in mammals (Cowley 
et al., 2003; Tschop et al., 2000) and non-mammals (Furuse et al., 2001; Unniappan et al., 2002). In humans, 
intravenous (IV) ghrelin administration increases appetite and food intake (Druce et al., 2005; Neary et al., 2004; 
Akamizu et al., 2008). Ghrelin stimulates appetite and food intake by acting on the arcuate nucleus (ARC). 
Opioidergic neurons play a role in alcohol reinforcement and are also located in the ARC (Loose et al., 1991). The 
highest expression of GHS-R1a’s is in the central nervous system (CNS). GHS-R1a is also expressed in several 
peripheral tissues such as the stomach, intestine, pancrease, thyroid, gonads, adrenal, kidney, heart and 
vasculature. It is unclear how circulating ghrelin reaches CNS targets. It may do so by crossing the blood-brain 
barrier (BBB) or by direct diffusion (or passage) as the BBB is incomplete at the ARC (Chollet et al., 2009). Local CNS 
regulation may occur as small quantities of ghrelin are produced in the hypothalamus and thus, may also regulate 
neurons expressing GHS-R1a’s (Carpino et al., 2002). 
Rationale for studying the ghrelin system in alcohol use disorder 
In addition to the ARC, GHS-R1a’s are also highly co-expressed with dopamine (DA) receptors in other brain regions 
(e.g., dentate gyrus of the hippocampus, midbrain, substantia nigra, raphe nuclei and ventral tegmental area [VTA]) 
(Guan et al., 1997; Katayama et al., 2000; Zigman et al., 2006; Jiang et al., 2006), suggesting that ghrelin modulates 
reward processing (Jerlhag et al., 2006a; 2007). Feeding behavior, DA release and locomotor stimulation are 
triggered by ghrelin infusion after intracerebral ventricular (ICV) infusion and after peripheral ghrelin administration 

5 
(Naleid et al., 2005; Jerlhag et al., 2006b; Kawahara et al., 2009; Quarta et al., 2009). Alcohol- and food-seeking 
behaviors share common neurobiological mechanisms, and both alcohol and food exert their reinforcing effects, in 
part, by increasing DA in limbic regions (reviewed in: Leggio et al., 2011; Tomasi & Volkow, 2012). Cortico-
mesolimbic DA pathways may mediate alcohol’s rewarding effects (including craving) associated with its abuse 
liability (reviewed in: Koob, 1992; Tupala & Tiihonen, 2004). Thus, involvement of ghrelin in the DA reward system 
and the role of the DA reward system in AUD suggest a significant role of ghrelin in the pathophysiology of AUD, as 
detailed in the animal and human studies summarized below. 
 
Animal studies: 
Ghrelin modulates cholinergic and dopaminergic reward pathways 
Ghrelin administration into the VTA increases extracellular concentrations of accumbal DA in mice (Jerlhag et al., 
2007). Peripheral administration of ghrelin or direct administration into the intra-laterodorsal tegmental area 
(LDTg) concomitantly increases release of ventral tegmental acetylcholine and accumbal DA in rats (Jerlhag et al., 
2012). The non-selective nicotinic acetylcholine receptor (nAChR) antagonist mecamylamine attenuates the 
stimulatory and DA-enhancing effects of ghrelin infused into the third ventricle (Jerlhag et al., 2006b), indicating 
that nAChRs mediates these neurochemical properties of ghrelin; nAChRs also mediate the locomotor stimulatory 
and DA-enhancing properties of ghrelin administered into the VTA (Jerlhag et al., 2008). Only alpha3-beta2, beta3, 
and/or alpha6 nAChR subtypes are implicated in the central alcohol rewarding actions of ghrelin (Jerlhag et al., 
2008). The same nAchRs (alpha3-beta2, beta3, and/or alpha6) in the VTA mediate the rewarding properties of 
alcohol, modulating voluntary-ethanol-consumption induced increases in both VTA acetylcholine and accumbal DA 
levels (Larsson et al., 2004; 2005). Peripherally injected ghrelin also activates reward-related measures, such as 
locomotor activity, accumbal-DA release and conditioned place preference (CPP), an established measure of alcohol 
reward where mice are conditioned to associate an environment with previous alcohol exposure in the absence of 
alcohol itself (Jerlhag, 2008). In summary, these studies demonstrate that both ghrelin and ethanol share a common 
substrate, the cholinergic-dopaminergic reward system, for the rewarding properties of ethanol. 
 
Ghrelin is required for alcohol reward 
Another set of experiments demonstrated that ICV ghrelin administration to mice significantly increased alcohol 
intake compared to vehicle treatment in a 2-bottle (alcohol/water) free choice limited access paradigm, and this 
increase was even more robust when ghrelin was administered bilaterally into either the VTA or the LDTg (Jerlhag 
et al., 2009). The effects of ghrelin on the VTA and LDTg were specific for alcohol intake (i.e., food intake was 
increased by ghrelin ICV in comparison to vehicle but was not affected by bilateral ghrelin administration into either 
the VTA or the LDTg). Notably, ghrelin administration into the lateral hypothalamus or paraventricular nucleus had 
no effects on ethanol intake (Schneider et al., 2007), confirming that ghrelin works in specific brain reward nodes 
(i.e., VTA). Furthermore, the effects of ICV ghrelin on alcohol intake were absent in GHSR knockout mice (Jerlhag et 
al., 2009). Additional experiments reported that the rewarding properties of alcohol (i.e., alcohol-induced accumbal 
DA release and locomotor stimulation) are also attenuated in ghrelin knockout mice compared to wild type (Jerlhag 
et al., 2011). In summary, these studies demonstrate that central ghrelin signaling is required for alcohol reward. 
 
 
Specificity of Ghrelin receptor (GHS-R1a) antagonism for reduction of alcohol reward and consumption.  
Another set of experiments done in Jerlhag and Engel’s lab demonstrated that measures of alcohol reward, such as 
enhanced extracellular accumbal DA overflow, locomotor stimulation and CPP were consistently abolished or 

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attenuated by two GHS-R1a antagonists (BIM28163 and JMV2959) in wild-type mice and were abolished in GHS-R1a 
knockout mice (Jerlhag et al., 2009). Alcohol intake was suppressed in mice by both BIM28163 and JMV2959 
[delivered either ICV or intraperitoneal (IP)]. These effects were specific for alcohol intake, as: a) JMV2959 
administration resulted in only a slight decrease in food intake, while BIM28163 induced an increased (rather than a 
decrease) in food intake, probably via an unknown mechanism that is likely to be independent of GHS-R1a; and b) 
GHS-R1a antagonists abolished CPP (see: Sanchis-Segura & Spanagel, 2006), thus demonstrating that the role of 
ghrelin signaling in alcohol reward is independent of the caloric value of alcohol (Jerlhag et al., 2009). Additional 
experiments with Long-Evans rats and alcohol preferring [Alko alcohol (AA)] rats reported that JMV2959 reduced 
high alcohol intake as well as the motivation to consume alcohol; i.e., operant self-administration (Landgren et al., 
2012). In summary, pharmacological studies demonstrate that GHS-R1a antagonism results in reduced alcohol 
reward and consumption. 
 
GHS-R1a antagonism inhibits both evoked and spontaneous GABAergic activity in the central nucleus of the 
amygdala (CeA) 
Cruz and colleagues (2013) used quantitative reverse transcription polymerase chain reaction to demonstrate the 
presence of GHS-R mRNA in the CeA (an area with a key role in regulating ethanol consumption whose GABAergic 
transmission is enhanced by acute and chronic ethanol administration) and used electrophysiological methods to 
demonstrate tonic ghrelin signaling in the CeA (Cruz et al., 2013). In naïve animals, superfusion of ghrelin increased 
the amplitude of evoked inhibitory postsynaptic potentials (IPSPs) and the frequency of miniature inhibitory 
postsynaptic currents (mIPSCs); co-application of ethanol further increased the ghrelin-induced enhancement of 
IPSP amplitude. In chronic ethanol-treated animals, superfusion of the GHS-R1a antagonists D-Lys3-GHRP-6 and 
JMV 3002 decreased evoked IPSP and mIPSC frequency, revealing tonic ghrelin activity in the CeA. Blockade of GHS-
R1a receptors with D-Lys3-GHRP-6 and JMV 3002 had a significant inhibitory effect on both evoked and 
spontaneous GABAergic activity, suggesting constitutive activation of GHS-R1a’s or tonic activity of endogenous 
ghrelin signaling in rat CeA. Pretreatment of CeA neurons with the GHS-R1a antagonists completely blocked the 
ghrelin-induced facilitation of IPSP amplitudes, indicating that ghrelin exerts its effect through GHS-R1a’s. These 
results suggest that the ghrelin system may constitute part of a brain pathway modulating reinforcement properties 
of alcohol consumption, and provide additional evidence for the potential role of ghrelin receptor antagonism as a 
novel pharmacological approach to treat AUD. 
 
Human studies: 
Blood ghrelin levels, alcohol intake and craving 
In healthy volunteers, blood ghrelin levels are significantly reduced after acute alcohol consumption (Calissendorff 
et al., 2005, 2006, 2012; Zimmermann et al., 2007). Additional studies reported that non-abstinent alcoholics had 
lower blood ghrelin concentration compared to controls (Addolorato et al., 2006; Badaoui et al., 2008; de Timary et 
al., 2012), and abstinent alcoholics had increased levels (Kim et al., 2005; Kim et al., 2012; Kraus et al., 2005). 
Together, these studies suggest that ghrelin levels are suppressed by acute alcohol intake and increased during 
abstinence. The PI, Dr. Leggio, conducted a study that provided the first preliminary evidence of a significant 
positive correlation between blood ghrelin levels and the Obsessive-Compulsive Drinking Scale (OCDS) craving 
scores in active drinking alcoholic individuals (Addolorato et al., 2006), a finding also confirmed by another recent 
study (Koopmann et al., 2012). Subsequent studies partially confirmed the relationship between blood ghrelin 
levels and alcohol craving in alcoholic individuals, albeit only in those with positive family history of alcoholism 
(Hillemacher et al., 2007) or in females (Wurst et al., 2007). Dr. Leggio led the first longitudinal study of serum 
ghrelin levels in alcoholic patients over the course of 12 weeks treatment. Ghrelin concentrations were assessed at 

7 
baseline (T0; after 72 hours abstinence), then repeatedly at  2 weeks (T1), 6 weeks (T2), and 12 weeks (T3); levels in 
abstinent patients were compared to those who did not remain abstinent during the 12 weeks treatment. At 
baseline, blood ghrelin levels were significantly higher in the non-abstinent group (p=0.035) and there was a 
significant group x time interaction in ghrelin levels (F=4.193, df=3, p=0.012), [Figure 1 (Leggio et al., 2012)]. These 
findings suggest that ghrelin level in early abstinence predicts later relapse. We also found a significant positive 
correlation between baseline ghrelin levels and craving during the 12-week period (Leggio et al., 2012). In summary, 
consistent with the preclinical data, human studies show that higher ghrelin levels may be associated with higher 
craving and alcohol consumption, suggesting that ghrelin is a potential new pharmacological target for AUD. 
Although only peripheral levels of ghrelin were tested, these results support the hypothesis that ghrelin may 
influence alcohol craving and consumption via the DA-related rewarding processing. This is consistent with a PET 
study (although in a different population of obese subjects) showing that peripheral ghrelin levels were inversely 
associated with the availability of DA type 2 receptor (D2R) in the caudate, putamen, ventral striatum, amygdala, 
and temporal lobes, i.e., higher ghrelin levels were associated with lower D2R availability, presumably from 
increased DA release and receptor occupancy (Dunn et al., 2012). Notably, although only peripheral ghrelin levels 
were tested, circulating ghrelin may reach CNS targets directly by crossing the BBB (Chollet et al., 2009). 
 
Figure 1 
 
Figure 1. Differences in blood ghrelin levels between abstinent and non-abstinent alcoholic patients. 
 
Human ghrelin administered intravenously acutely increases alcohol craving: first-in-man preliminary findings 
Dr. Leggio conducted the first study administering IV ghrelin to alcoholic individuals (NCT01190085: PI Leggio). In this 
double-blind, placebo-controlled, between-subject, randomized study, 45 non-treatment seeking heavy drinking alcoholic 
individuals received a bolus of IV ghrelin 1 μg/kg, IV ghrelin 3 μg/kg or saline solution (placebo) and then immediately 
participated in a cue-reactivity (CR) experiment in a controlled laboratory setting. During the CR procedure, participants 
were exposed to alcohol cues (e.g., the sight and smell of one’s preferred alcoholic beverage), compared to control cues 
(while water is usually used in CR studies, juice cues were used in this study to specifically control for non-alcoholic 
appetitive behaviors). Both subjective (i.e., urge to drink and attention to the cues) and physiological (i.e., heart rate, blood 
pressure, salivation) responses to cues were collected. The Alcohol Urge Questionnaire (AUQ) was used to assess urge to 
drink alcohol. 
 
The main results of this study (Leggio et al., 2014) showed a main ghrelin effect in increasing the urge to drink alcohol 
[F(2,40) = 3.36, p = .045] using a repeated measures ANCOVA (Figure 2). Post-hoc comparisons revealed that alcohol urge 

8 
was significantly greater for ghrelin in 3 mcg/kg than placebo (p = .046) (Figure 2), with a large effect size (d = 0.94). No 
statistically significant differences were found neither in the ghrelin 1 mcg/kg vs. placebo condition nor between ghrelin 1 
mcg/kg and ghrelin 3 mcg/kg. In contrast with urge to drink alcohol, IV ghrelin was not significantly more effective than 
placebo in increasing urge to drink juice.  
 
 
 
 
Figure 2 
dA-VAS 
Figure 2. Intravenous ghrelin 3 mcg/kg administration, compared to placebo, resulted in increased urge to drink 
alcohol, measured as change in an Alcohol-Visual Analogue Scale (dA-VAS) during a human laboratory study with 
alcoholic individuals. There was a main ghrelin effect in increasing the urge to drink alcohol [F(2,40) = 3.36, p = 
.045] using a repeated measures ANCOVA. Post-hoc comparisons revealed that alcohol urge was significantly 
greater for ghrelin 3 mcg/kg than placebo (p = .046), with a large effect size (d = 0.94). 
 
Post-infusion serum total ghrelin level was correlated with the increase in alcohol urge during both the first (p = .008, Figure 
3A) and the second (p = .005, Figure 3B) alcohol trials. Similarly, the maximum serum ghrelin peak level across the six 
measurements correlated with the increase in alcohol urge during both the first (p = .02, Figure 3C) and second (p = .04, 
Figure 3D) alcohol trials. By contrast, neither urge to drink juice nor food craving questionnaire scores were significantly 

9 
correlated with serum ghrelin levels.Figure 3 
 
Figure 3. Serum total ghrelin level was correlated with the increase in alcohol urge measured by Alcohol-Visual Analogue Scale 
(dA-VAS) during both the first (p = .008; Figure 3A) and the second (p = .005; Figure 3B) alcohol cue trials. The maximum serum 
total ghrelin peak level across the six measurements was correlated with the increase in alcohol urge both in the first (p = .02; 
Figure 3C) and the second (p = .04; Figure 3D) alcohol cue trials. 
 
Albeit preliminary, these data have clinical implications given that craving is a predictor of alcohol use. Craving has been 
proposed as a clinically relevant endophenotype, as higher craving is associated with an increased rate of relapse (Marlatt, 
1978; Rohsenow et al., 2001; Bottlender & Soyka, 2004). Furthermore, the CR procedure is well-validated (e.g., Monti et al., 
1993, 2000; Rohsenow et al., 2000; Leggio et al., 2013). Exposure to alcohol cues can simulate a high risk situation for 
relapse and urge to drink, as assessed in the CR, and predict drinking after treatment (Monti et al., 2000). Notably, 
medications (e.g., naltrexone) that reduce alcohol consumption also reduce alcohol craving during the CR procedure (Monti 
et al., 2000; Swift, 1999). 
GSHR1a antagonism/inverse agonism: a novel pharmacological strategy to treat AUD 
The studies summarized above provide compelling evidence that manipulations of the ghrelin system affect alcohol craving 
and consumption. Both animal and clinical studies show that ghrelin administration results in increased craving and drinking 
and there is direct preclinical evidence that GHS-R1a antagonism significantly reduces alcohol intake. Thus, orally 
bioavailable, brain penetrant GHS-R1a antagonists may have a therapeutic promise for AUD (Jerlhag et al., 2009; Leggio, 
2010; Leggio et al., 2012), but this hypothesis has not yet been tested in humans. The development of GHS-R1a antagonists 
for other medical conditions (e.g., obesity) is under way, but most of them are neither ready for ‘first-in-man’ use nor 
available to academic investigators. This proposal offers a unique opportunity to test, for the first time, this hypothesis 
using PF-05190457, an existing molecule available under this NIH-Industry Pilot Program at NCATS, and with proven safety 
in Phase 1 studies. It has been shown that clinically effective antagonists (especially competitive antagonists) are frequently 

10 
inverse agonists rather than simply neutral antagonists. Chollet et al. (2009) reported that GHS-R1a possesses a naturally 
high ligand-independent signaling representing 50% of its maximal activity and this property implies that a neutral 
antagonist could have limited benefit compared with an antagonist possessing inverse agonist activity (Pantel et al., 2006; 
Holst & Schwartz, 2006). Consistent with this notion, GHS-R1a inverse agonists could be effective for obesity, in that they 
would be expected to eliminate the high constitutive, ghrelin independent signaling activity of GHS-R1a between meals 
(Holst & Schwartz, 2004); thus, GHS-R1a inverse agonists may decrease the craving for ‘second-order meals’ (Holst & 
Schwartz, 2004). Similarly, GHS-R1a inverse agonism may represent an effective way to manipulate ghrelin signaling to 
reduce alcohol craving and relapse in heavy drinkers (Leggio, 2010).  PF-05190457 is a GHS-R1a inverse agonist/competitive 
antagonist and represents, therefore, a promising new medication for AUD (Haas, 2012). Access to PF-05190457 via this 
NIH-Industry Pilot Program (NCATS, 2012) represents a unique opportunity to test, for the first time in humans, the 
hypothesis that competitive antagonism with inverse agonism activity on GHS-R1a may result in reduced alcohol craving 
and intake in individuals with AUD. 
 
PF-05190457: PHARMACOLOGICAL PROPERTIES AND SAFETY PROFILE IN PHASE 1 STUDIES 
PF-05190457 is a potent and selective first in class GHS-R1a inverse agonist/competitive antagonist originally proposed by 
the manufacturer (Pfizer) for the treatment of Type 2 diabetes mellitus based on its ability to increase insulin secretion from 
human islets. Preclinical and clinical studies on PF-05190457 have been conducted by Pfizer, which has agreed to 
partnership with NIAAA and URI for the execution of this proposed research. This paragraph briefly summarizes the 
available data for PF-05190457, based on the Confidentiality Disclosure Agreements (CDAs) between Pfizer and both NIAAA 
and URI. This project will be performed as part of an NIH/NCATS UH2/UH3 grant awarded to Dr. Leggio (NIH) and Dr. 
Akhlaghi (URI) (Co-PIs).  
 
Absorption, distribution and metabolism 
Oral absorption of PF-05190457 following single dose administration was rapid in rats and dogs, reaching Tmax in less than 2 
hours in both species. Oral bioavailability was moderate in rats (29.4%) and high in dogs (79.5%). PF-05190457 plasma 
protein binding, at concentrations of 1 μM and 10 μM, was moderate and independent of the concentration.  Average 
values of unbound fraction were 0.34 in rat, 0.4 in dog, 0.16 in monkey, and 0.15 in human plasma. Clearance (CL), volume 
of distribution at steady state (Vss), and elimination half-life (t1/2) for PF-05190457 in humans was approximately 3.30 
mL/min/kg, 1.94 L/kg, and 6.79 hours, respectively.  Preliminary data suggests that PF-05190457 metabolism is catalyzed by 
CYP3A isoenzymes (3A4 and 3A5).  PF-05190457 is not anticipated to demonstrate competitive or time-dependent 
pharmacokinetics drug interactions with compounds for which CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, or 
CYP3A mediated metabolism constitutes the primary mechanism of clearance. In cryopreserved human hepatocyte culture, 
PF-05190457 did not induce CYP3A or CYP1A2 isoenzymes.  Food does not significantly affect PF-05190457 
pharmacokinetics; therefore the drug can be taken either with or without food. 
 
Pharmacodynamic properties 
PF-05190457 has a human equilibrium dissociation constant for ligand and receptor interaction (Kd) of 3.04 nM (1.56 
ng/mL) and requires 4.07 hours to achieve equilibrium in vitro. Based on the nonclinical studies, the cardiovascular and 
central nervous systems have been identified as the major potential targets, including a central effect of PF-05190457 in 
decreasing locomotor activity. Nonclinical toxicology data support the use of PF-05190457 in clinical studies up to 28 days in 
duration. 
 
Altered cytochrome P450 (CYP) 3A4 in alcoholic subjects 
CYP3 A4 is the most important drug-metabolizing enzyme in the liver and is responsible for biotransformation of 55% of all 
marketed medications (Anzenbacher & Anzenbacherova, 2001).  Alcohol consumption is considered one of the underlying 
factors responsible for the variation in the induction of CYP3A4 and its baseline activity (He et al., 2006; Niemela et al., 

11 
2000; Parkinson et al., 2004; Rahmioglu et al., 2011; Salmela et al., 1998; Weathermon & Crabb, 1999).  Although alcohol 
dehydrogenase and CYP2E1 are the major pathways for metabolizing ethanol, CYP1A2 and 3A4 also contribute to alcohol 
metabolism (Salmela et al., 1998).  A small-scale study of liver biopsies from patients with alcoholic and non-alcoholic liver 
disease showed that alcohol-induced liver damage results in the induction of CYP2A6, CYP2E1 and CYP3A4 isoforms 
(Niemela et al., 2000).  Recently, a classical twin study investigated the influence of genetic and environmental factors on 
CYP3A4 induction.  Induced CYP3A4 activity was estimated at 66% because of genetic factor while BMI, alcohol use and 
cigarette smoking accounted for 20% of the variability in CYP3A4 induction (Rahmioglu et al., 2011).  Furthermore, in 
human liver, data obtained in donors with a history of alcohol consumption (14 or more drinks per week) showed a 2.2 fold 
higher rate of metabolism of midazolam to its 1’-hydroxy metabolite that suggests induction of CYP3A4 by alcohol (He et al., 
2006). Midazolam, is a specific CYP3A4 substrate for both in vitro and in vivo studies. Contrary to this observation, Swart et 
al. (2004) showed 35% lower clearance of midazolam in patients with a history of alcohol abuse defined as chronic use of 
more than 6 units of alcohol per day. Midazolam volume of distribution was not affected by alcohol abuse (Swart et al., 
2004).  In addition, the formation of autoantibodies against CYP2E1 and CYP3A4 was detected in alcoholic subjects and 
formation of IgG against these enzymes was evident in rat during chronic ethanol feeding (Lytton et al., 1999).  Alcohol 
consumption is also associated with reduced responsiveness to anti-retroviral agents (Samet et al., 2003).  A spectral 
binding study showed that ethanol physically interacts with CYP3A4 protein with a strong binding affinity.  As a result, the 
inhibitory effect of a CYP3A4 inhibitor, nelfinavir, was 3-fold lower in the presence of 20 mM ethanol (Kumar et al., 2010; 
Kumar & Kumar, 2011). 
 
P-glycoprotein as a barrier for PF-05190457 brain penetration 
The blood capillary endothelial cells in the brain form tight junctions that are impermeable to many molecules.  Generally, 
hydrophilic compounds like glucose, ethanol and nicotine pass across blood-brain barrier (BBB) more easily via passive 
diffusion (Schinkel, 1999), compared to relatively large (> 400 Da) hydrophobic drugs. PF-05190457 (Mw: 512.68 Da; Log P: 
2.93) is a brain penetrant compound, as evidenced by somnolence at higher doses, but it is technically defined by the 
manufacturer as a ‘brain impaired’ compound given that the brain/plasma ratio is not 1:1. P-glycoprotein (P-gp) encoded by 
multidrug resistance protein 1 (MDR1) gene is an ATP-dependent efflux transport protein that is predominantly found in the 
apical membranes of cell in intestine, liver, kidney and BBB.  In vitro experiments and in vivo studies in P-gp knockout 
animals suggest that efflux by P-gp is responsible for poor brain penetration of relatively large hydrophobic drugs (Schinkel, 
1999).  In vitro studies carried out by Pfizer have shown that PF-05190457 is a substrate for P-gp.  In addition, the brain to 
plasma free concentration ratio of PF-05190457 in P-gp knockout mouse was 2.534 as compared to 0.016 in the wild type 
mice. 
 
INNOVATION 
Since 2006, the preclinical and clinical literature on the role of ghrelin and its receptor in AUD has been exponentially 
increasing.  As such, targeting the ghrelin receptor system to treat AUD is a highly innovative approach. The most 
translational study conducted in humans with ghrelin is Dr. Leggio’s study where alcoholic individuals received IV ghrelin. 
However, no studies have ever been conducted testing a ghrelin receptor antagonist in alcoholic individuals. Therefore, this 
study partially funded by a UH2/UH3 mechanism from NCATS represents a highly innovative project because it will be the 
first clinical trial testing the possible role of a ghrelin receptor antagonist/inverse agonist in AUD. While a few preclinical 
experiments with other ghrelin receptor antagonists have been conducted, our pre-clinical and phase 1b studies with PF-
05190457 proved this compound to be safe in AUD patients.  The objective of phase 2a study will be to determine whether 
PF-05190457, compared to placebo, reduces alcohol cue-elicited craving, reduces brain blood oxygen level dependent 
(BOLD) response during exposure to alcohol cues and during a task-based fMRI scan is highly translational and will provide 
pivotal information to support further development of a novel compound for treatment of AUD. 
 

12 
Summary of previous Phase 1a clinical studies of PF-05190457 conducted by the manufacturer 
Pfizer has conducted three Phase 1 clinical trials showing that PF-05190457 is safe and generally well tolerated up to 100 
mg twice a day (b.i.d.) for 14 days. The first study, B3301001 (www.clinicaltrials.gov : NCT01247896), was a Phase 1 
placebo-controlled trial to assess the safety, tolerability, and PK of single escalating oral doses of PF-05190457 in 35 healthy 
adult subjects. Following the administration of a single dose to fasting subjects, PF-05190457 absorption was rapid, with 
median Tmax values observed between 0.500 and 2.50 hours across the studied doses, and these values decreased with 
increasing the dose. Median plasma PF-05190457 concentrations increased with increasing doses, consistent with the 
individual concentration-time profiles. In general, increase in exposure (AUClast and Cmax) to PF-05190457 was dose 
proportional within the range of 50 mg to 300 mg. This study indicated a safe profile of PF-05190457. There were no serious 
adverse events (SAEs), no subject discontinued due to an AE, and no dose reductions or temporary discontinuations of 
study medication occurred due to an AE. The maximum tolerated single dose was determined to be 300 mg based on 
treatment-related observations of heart rate increases and somnolence. The most common AEs were somnolence, 
headache, and fatigue. All somnolence events were mild, and no AEs were graded as severe.  A PF-05190457 plasma 
concentration-related heart rate increase was also observed. There was also a tendency for the drug to lower glucose 
levels. 
The second study, B3301007 (www.clinicaltrials.gov : NCT01522807), was another Phase 1 study aimed at testing the 
bioavailability of three different formulations of PF-05190457 100mg in 16 healthy adult volunteers: EP-suspension 
formulation, long duration, and short duration EP-osmotic capsule formulations. This second trial confirmed the safe profile 
of PF-05190457, e.g., no SAEs or severe AEs. Heart rate increase and somnolence were again the most common AEs. 
The third study, B3301002 (www.clinicaltrials.gov : NCT01372163), was a Phase 1 study testing multiple doses of PF-
05190457 (up to 100mg b.i.d.) in  healthy controls and diabetic patients during a 14-day period. This study confirmed the 
safety of the drug, and as stated on www.clinicaltrials.gov  the study was terminated “for strategic reasons, there were no 
safety concerns leading to discontinuation of this study.” In the third study (B3301002), tachyphylaxis was observed, 
affecting the ghrelin-stimulated GH secretion, increases in heart rate and glucose-lowering tendency by Day 14. 
Interestingly, in B3301002, after multiple dosing of PF-05190457 100mg b.i.d. (the dose we propose in our HU3 clinical 
trial), somnolence was still evident but the heart rate effects showed tachyphylaxis presumably because heart rate is 
vagally–mediated and PF-05190457 at 100 mg b.i.d. blocks the receptor 24/7, whereas the somnolence driven centrally did 
not have a 24/7 block of the receptor.  This observation further confirms that PF-05190457 acts centrally in the CNS and 
that, unlike its peripheral actions, the central actions of PF-05190457 are less likely to show tachyphylaxis.  Nonetheless, the 
tachyphylaxis observation made in the B3301002 study was carefully considered in our approach and human subject 
protection sections. 
 
Recent work on PF-05190457 conducted at NIH and URI during the UH2 phase of the NCATS project 
Many pharmaceutical agents variably interact with alcohol.  Sometimes these interactions can result in altered drug 
concentration (PK) because of the influence of alcohol on absorption, distribution, metabolism and elimination.  Moreover, 
alcohol may alter drug effect or pharmacodynamics by changing the affinity of drug receptor binding or altering drug 
distribution to the site of action (i.e., brain) (Weathermon & Crabb, 1999).  PF-05190457 is a substrate for cytochrome P450 
(CYP) 3A4 and it is effluxed by P-glycoproteins.  Administration of PF-05190457 in subjects with a history of alcohol use and 
its co-administration with alcohol may therefore yield different pharmacokinetic and/or pharmacodynamic characteristics 
than those observed in healthy volunteer studies conducted by Pfizer. Therefore, alcohol-drug interactions were studied 
during the UH2 phase of this grant, as detailed next. 
 
Development of LC-MS/MS Assays 

13 
In collaboration with Dr. Akhlaghi’s lab at URI, assays for rat brain and rat/human plasma were developed and validated 
according to FDA guidelines, as recently published (Ghareeb et al., 2015). Assays were used to measure PF-05190457 
showing high sensitivity and selectivity. 
 
Preclinical work 
In collaboration with Dr. Heilig’s lab at NIAAA, we conducted the following preclinical work. First, we tested different doses 
of the drug and we assessed plasma and brain concentrations using the assays previously developed. We showed brain 
penetrance after intraperitoneal (i.p.) administration. In addition, analyses of the brain concentration data, together with 
previous Pfizer data, provided the information that, 3 and 10 mg/kg of i.p. PF-05190457 yielded 50% and 100% receptor 
occupancy. Then, given that sedation and sleepiness were reported in previous Phase 1 studies conducted by Pfizer, our 
next goal was to exclude significant sedative effects due to drug-alcohol interaction. In order to do so, we conducted three 
separate experiments with Wistar rats pretreated with vehicle or PF-05190457 (3 or 10 mg/kg i.p.): 
- 
Locomotor activity (n = 20) 0.5 g/kg (20% v/v) ethanol i.p. 
- 
Locomotor activity (n = 20) 1 g/kg (20% v/v) ethanol i.p. 
- 
Loss-Of-Righting-Reflex (n = 39) 3.5 g/kg (20% v/v) ethanol i.p. 
All experiments indicated no significant PF-05190457 / alcohol interactions for the outcomes assessed by these 
experimental designs. 
 
Clinical work: Protocol 14-AA-0042 
Enrollment for protocol 14-AA-0042 was recently completed. This was a single-blind, dose-escalating, placebo-controlled, 
within-subject study using PF-05190457 (50mg and 100mg b.i.d.) or matched placebo in non-treatment seeking heavy 
drinking subjects (n = 12 completers). At each visit, subjects received the study drug on Day 1 (twice), Day 2 (twice) and 
then in the morning of Day 3 (drug dosing phase), after which an alcohol session (drug/alcohol interaction session) was 
conducted, followed by repeated clinical and research assessments and repeated blood sampling for the PK/PD outcomes. 
Across the three drug conditions (placebo, PF-05190457 50 mg b.i.d., PF-05190457 100 mg b.i.d.), there were no serious 
adverse events and the drug was well-tolerated, as patients reached the targeted dose per study design, and none dropped 
due to study drug-related side effects was reported. During the drug/alcohol interaction session, there were no statistically 
significant differences in adverse events nor on alcohol-related biphasic effects (sedation and stimulation). During the drug 
dosing phase, there were no statistical differences in adverse events between the three drug conditions. Analysis of Day 1 
EKG vs. Day 3 EKG showed a significant difference in the QTc interval in the two drug conditions vs. placebo; however, this 
statistically significant difference did not have a clinical significance given that all QTc values always remained within the 
normal range. Additionally, the statistical significance was mainly driven by a decrease in the QTc interval from Day 1 to Day 
3 in the placebo condition. Nonetheless, out of an abundance of caution, the present protocol will have specific safeguards, 
as detailed in the exclusion criteria and in the criteria for participant withdrawal. 
 
While Protocol 14-AA-0042 was primarily designed as a Phase 1b drug/alcohol interaction study, we also took the 
advantage of having research participants at the NIH CRC in order to conduct preliminary assessments of the potential role 
of PF-05190457 on alcohol craving. The main goal of these preliminary assessments was to provide information that may 
better guide the present protocol. In particular, we found the following: 
 
1. PF-05190457 did not reduce alcohol craving assessed during drug dosing in the hospital room 
 
2. PF-05190457 reduced alcohol priming-elicited craving (Figure 4). 

14 
 
Figure 4. PF-05190457 reduced alcohol priming-elicited craving measured by a Visual Analogue Scale (VAS) (Drug dose*Time: 
F(18, 171) = 2.05, p = 0.0096) 
 
3. PF-05190457 reduced alcohol cue-elicited craving in a “bar-like” laboratory (Figure 5) 
 
 
Figure 5. PF-05190457 reduced alcohol cue-elicited craving measured with the Alcohol Urge Questionnaire (Drug: F(1,13) = 4.45, p = 
0.05; dz: 0.78) 
 
These results are very preliminary. Nonetheless they provide additional evidence in agreement with our overall hypothesis 
and strengthen the rationale for conducting the present protocol. Additionally, the results above are unlikely to be due to 
non-specific effects of the drug in terms of sedation and sleepiness (Figure 6). 

15 
 
Figure 6. PF-05190457 administration vs. placebo does not result in increased sedation (left) or sleepiness (right) measured with the 
Biphasic Alcohol Effects Scale (BAES)  
 
 
Behavioral interventions in AUD and Motivational Interviewing with Video Feedback (MIVF) 
Based on the results described above, the overall goal of this protocol is to further investigate PF-05190457 in AUD 
in order to test if this drug shows an early-signal of efficacy in AUD patients. It is important to keep in mind that most 
alcoholism treatment is psychosocially oriented and is conducted in the outpatient setting with pharmacotherapy for 
alcoholism being primarily an adjunct therapy for patients receiving psychosocial interventions (Swift and Leggio, 2009).  
Compliance with keeping outpatient appointments and compliance with psychosocial interventions that are given in 
concert with pharmacotherapy is a challenge in addiction treatment as motivation for treatment as well as abstinence often 
wanes over time.  Psychosocial treatments alone are often not effective for everyone and pharmacologic interventions 
increase the odds for patients to reduce or stop drinking. On the other hand, medications alone may have modest effect 
sizes when used in real-world clinical settings, therefore they should be considered primarily as adjunct therapy for patients 
receiving psychosocial interventions (Swift and Leggio, 2009). In conclusion, if this current protocol will be indicative of 
efficacy for PF-05190457 in AUD, the next large pivotal randomized controlled trial will test this medication in patients who 
will also receive a behavioral intervention. As such, providing additional scientific evidence for effective behavioral 
interventions is crucial from a clinical and public health perspective, is in line with the scope of the science proposed in this 
protocol and is consistent with the overall scope of our laboratory to develop novel treatments for patients suffering from 
AUD. 
Motivational Interviewing with Video Feedback (MIVF) represents an adaptation of an approach that has been 
shown to shift patients toward behavior change and uses this approach to enhance motivation over time. The goal of the 
proposed Motivational Interviewing with Video Feedback is to explore the effect of video feedback of motivational 
interviewing sessions in treatment-seeking alcoholic individuals on sustained motivation for abstinence, insight into 
addiction as well as the ability to reflect about one’s relationship with alcohol. Our methodology is supported by theoretical 
and empirical literature.  Motivation for abstinence improves treatment outcomes in recovering alcoholic patients 
(DiClemente, 1999; Hedeker & Mermelstein, 1996; Wickizer at al., 1994). In general, motivation often peaks at the outset of 
a person’s decision to modify behavior (Orleans, 2000). For alcoholic individuals, motivation fluctuates throughout 
treatment (Polcin et al., 2004).  Muench and colleagues (2006) argue that significant gains have been made in motivating 

16 
patients to engage in treatment, but interventions to maintain motivation over time are needed (Muench et al, 2006). In 
order to sustain motivation, the mental and emotional processes used to prompt abstinence need to be supported over the 
course of treatment, making the consequences of relapse salient (Miller, 1999).  To this end, Bray and Kehle (2001) have 
developed a video feedback self-modeling technique to film patients in highly motivated states to maintain a behavior 
change then replay those videos to patients at subsequent points in the treatment in an effort to sustain motivation over 
time. 
One approach to increasing motivation to change is Motivational Interviewing which aspires to enhance the client’s 
intrinsic motivation for change and to maximize commitment to alter behavior and thought patterns. Indeed, a meta-
analysis conducted by Rubak et al. (2005) demonstrated motivational interviewing had a significant effect on behavior 
change in 33 of 42 randomized controlled trials which included patients with alcoholism and drug use disorders. 
Motivational interviewing enhances motivation, in part, through helping the patient generate insight into his or her 
maladaptive behavior. In alcoholics, insight refers to the ability to understand how the disease affects themselves and those 
around them. Reduced insight into the consequences of addiction over the course of treatment reduces a patient’s 
readiness to change and long-term sobriety (Blanchard et al., 2003; Vaillant, 1983). Kim et al. (2007) found a correlation 
between a patient’s level of insight and their motivation to abstain from alcohol. Moreover, the same authors also 
demonstrated that higher levels of insight are associated with longer periods of abstinence in alcohol-dependent patients 
after one year of discharge from a hospital-based treatment clinic. Evaluating changes in a patient’s level of insight, then, 
will help us predict the authenticity and strength of a patient’s motivation to abstain from alcohol.  
The capacity for self-reflection or reflective functioning promotes insight.  Schechter and colleagues (2006) have used 
video feedback to improve reflective functioning and insight in traumatized mothers with respect to their relationship with 
their young children.   This improvement predicts a shift in mothers’ attitudes toward their children that are more age-
appropriate and less distorted by their own needs.  In alcoholic patients, the greater the patient’s capacity for reflective 
functioning, the greater the likelihood that intervention will alter the patient’s intrinsic understanding of their alcoholism 
and therefore improve their insight and motivation. In addition to maintaining motivation over time, it is important to help 
recovering alcoholics gain the confidence that they are able to change their behavior.  To this end, we will use feed forward 
self-modeling to help a patient construct an image of success beyond his or her current capacity for achievement.  The self-
modeling technique combines previously learned behaviors that are components of a new skill, to help an individual 
perform a new behavior (Dowrick, 2012).  
 
D. Study Objectives:  
The present protocol represents the UH3 (Phase 2a) of Dr. Leggio’s NCATS grant. 
We propose to test PF-05190457, a GHSR1a inverse agonist, as a novel treatment for AUD. This will be a Phase 2a, proof-of-
concept (early-signal) human laboratory study with PF-05190457 (100mg b.i.d.).  
 
Primary outcome measures: 
The primary aim will be to determine whether PF-05190457 reduces alcohol cue-elicited craving assessed in a “bar-like” 
laboratory. This outcome will be assessed during the inpatient phase of the protocol. 
 
Secondary outcome measures:  
The two secondary aims will be to determine: 
a. Whether PF-05190457, compared to placebo, reduces brain BOLD response during exposure to alcohol, food and 
sexually appetitive cues, during a task-based fMRI scan 

17 
b. Whether PF-05190457, compared to placebo, reduces food choices in a “virtual buffet” conducted in a virtual 
reality context. 
These outcomes will be assessed during the inpatient phase of the protocol. 
 
Tertiary outcome measures:  
The tertiary aim will be to determine whether Motivational Interviewing with Video Feedback (MIVF), compared to 
standard supportive counselling, will enhance motivation for abstinence in the outpatient setting as well as will increase 
time to first relapse and reduce alcohol drinking. This outcome will be assessed during the outpatient phase of the protocol. 
The primary and secondary outcomes of this study will provide guidance on whether a next large randomized controlled 
Phase 3 trial with PF-05190457 in AUD should be conducted. If that will be the case, the tertiary outcome will provide 
valuable information on which behavioral intervention may be combined to the pharmacological treatment with PF-
05190457 in the future Phase 3 trial. Additionally, this tertiary outcome may provide beneficial information for studies 
conducted with other medications. 
 
 
 
 
E. Study design and methods. 
This  
Overview. This Phase 2a human laboratory study is aimed to test PF-05190457 100mg b.i.d. for an early-signal of efficacy in 
treating alcoholism. 
 
Design. A within-subject, counterbalanced, double-blind, placebo-controlled study using PF-05190457, in treatment- and 
nontreatment seeking individuals with AUD. 
 
Screening. The screening process for this protocol is conducted under the 14-AA-0181 NIAAA screening protocol procedures 
conducted in the Outpatient Clinic and/or the Inpatient Unit. As routinely done at the NIAAA Intramural Clinical Program, 
the screening procedures and data collected in the 14-AA-0181 protocol will allow the Investigators to assess the eligibility 
criteria for this protocol. If suitable, subjects will be offered to participate in this protocol. If subjects agree and sign the 
consent form, they will be enrolled in the study and start the study procedures. 
 
Study Procedures 
This study includes an inpatient phase followed-up by an optional outpatient phase 
 
INPATIENT PHASE 
 
Overview: During the inpatient phase, eligible participants will undergo Stages 1 and 2, where study drug (PF-05190457 or 
placebo) administration will be counterbalanced. A study drug wash-out window of at least 2 days will take place between 
Stage 1 and Stage 2. During each Stage, subjects will take the study drug twice a day (b.i.d.) for a maximum of 14 days in 
order to allow flexibility, maximize feasibility and minimize scheduling problems. At the end of each Stage, the last evening 
dose of the study medication will not been administered.  As part of this study, subjects will be admitted to the inpatient 
unit, 1SE and will remain as inpatients for the duration of the two Stages and the wash-out window. During the washout 
period (i.e., when participant is not receiving the investigational study drug), a participant may request an unaccompanied 
pass to leave the NIH Clinical Center; the PI, MAI or covering physician will evaluate the pass request and determine 
whether the pass may be granted during the washout period.   

18 
The following research procedures (1-3 listed below) will take place once in Stage 1 and once in Stage 2. These procedures 
will be the same for Stage 1 and Stage 2.  
 
Physiologic Measures:   As part of physiologic monitoring in this study, we are using several biosensors (detailed below) 
provided by Dr. Rich Fletcher at the Media Laboratory, Massachusetts Institute of Technology.  Biosensors can provide 
comprehensive information of one's internal physiological state by measuring multiple physiological parameters 
continuously over long time scales.  Analysis of this composite data can potentially reveal previously unobservable effects in 
the context of abstinence, medication administration, for example, compared to monitoring singular measures of 
physiologic data.  These sensors are not considered "new investigational medical devices" since the main thing that is new is 
not the sensors but the packaging/form factors that allow comfortable recording as well as accompanying technology for 
communicating, analyzing, and visualizing physiological information.   
A Material Transfer Agreement is in place to obtain the Biosensors used in this study. 
 
We will use the following sensor:  
 
 
 
1) The MIT bed sensor is a small flat electromagnetic device which detects small movements.  The sensor can be 
mounted on the wall next to the bed to monitor physical movements during sleep.  Alternatively, the device can be 
placed under the mattress to measure physical movements.  When a person is lying directly over the sensor, the 
device can also be used to measure heart rate and respiration.     A photo of the device is shown in Figure 3, below. 
The device will be placed under the subject’s bed on the 1SE unit upon enrollment in the study and will remain 
there for the duration of their stay on the unit. 
 
 
 
 
 
 
 
 
Figure 3: Bed motion sensor device packaged in clear plastic holder. 
 

19 
 
 
For the purpose of the current study, the bed sensor shall be placed under the mattress, located approximately under the 
torso area of a person sleeping in the bed. The bed sensor device uses a 5V power adapter that would be plugged into an 
outlet behind the bed. 
 
Analysis of the bed sensor data will involve extracting gross motor movements as a function of time. The data extracted is 
very similar to the data from an accelerometer.  These data shall enable a basic analysis of the participant’s sleep cycle and 
the duration of sleep.      Depending on the participant’s position during sleep, and the relative location of the sensor 
device, it might also be possible to extract heart rate and breathing rate information during sleep as well. 
 
3. Thermal camera -- the camera will capture a thermal image of the participant's face and will be used during the cue 
reactivity  sessions to detect changes in skin temperature as a consequence of alcohol cue  exposure as well as the effect of 
study drug on these measures. The thermal camera (Seek Thermal, Santa Barbara, CA) is designed to attach to an iPAD. The 
thermal camera will be installed on an iPAD which will be used to take a thermal facial image at baseline and at several time 
points during the cue reactivity and alcohol administration procedures.  The Apple iPad tablet will be mounted on a wall in 
the bar room.  
 
 
 
 
 
Figure 4:  Seek Thermal Camera 

20 
 
 
 
Dr. Fletcher at MIT has developed software tools that are used to analyze the images in order to calculate thermal gradients 
and thermal patterns on the face.  The camera takes images that are 206 by 156 thermal pixels.  The software contains an 
algorithm to isolate the face, and then samples thermal data from different parts of the face and generates histograms 
showing the normalized temperature differences at different points on the face. 
 
   
Figure 1.  (left) Sample thermal image, and (right) sample histogram. 
 
 
 
 
 
 
 
1. Cue-Reactivity (CR) procedure 
This procedure will be similar to that used in our previous studies, including 14-AA-0042 and 13-AA-0040. The CR procedure 
is performed in a bar-like laboratory. During the CR procedure, participants are exposed to visual, tactile, olfactory, and 
proprioceptive stimuli associated with the beverage. Participants first will undergo a 3-minute relaxation period (‘‘please sit 
quietly and do nothing’’) to collect pre-CR levels of urge and physiological arousal (this first relaxation period may take place 
outside in a clinical testing room or inside the bar-like laboratory). There will be a tray containing a glass half full of water 
and a commercially labeled bottle of water located in the room. An audiotape will instruct the participant to sniff the glass 
of water when s ⁄ he will hear high tones and stop sniffing when s ⁄ he will hear low tones. This procedure will include 
thirteen 5-second olfactory exposures during each 3-minute trial, with variable intervals between each exposure. The water 

21 
trial provides a controlled baseline that controls for all aspects of stimuli and movement except for the nature of the 
beverage. After that, another 3-minute relaxation period will follow. Next, participants will undergo a similar procedure 
with personalized food cues; this will be used given that our preliminary data from 14-AA-0042 show an effect of the study 
medication on food craving assessed during the CR. Finally, two 3-minute alcohol cue exposure trials that will be identical to 
the water trial except the glass of water will be replaced with their preferred alcohol beverage and the bottle of water will 
be replaced with the appropriate commercially-labeled alcohol bottle. Two alcohol trials will be conducted to gain a stable 
estimate of participants’ reactions to alcohol cues and because two exposures have proven most sensitive to differential 
effects in previous studies (trials will be presented in the same order for all participants because of known carryover 
effects). After every 3 minutes of beverage exposure, participants will rate their urge to drink alcohol by completing the 
Alcohol Urge Questionnaire (AUQ) (Bohn et al. 1995) (Appendix 9) . The term urge to drink is explained to the subject as 
“want, desire, craving, thirst for or wish to drink”. The AUQ will be complemented by the Alcohol Attention Scale (AAS), 
which consists of two 10-point Likert-type scales assessing attention to the sight and smell of water and alcohol cues.  
 
2. Functional Magnetic resonance imaging (fMRI) [for those who have no exclusion criteria for fMRI scanning or due to 
scheduling limitations, e.g. scanner shutdown] 
During scanning, subjects will view alternating blocks of pictures of the following stimuli:  1) alcohol cues, 2) food cues and 
3) sexually attractive cues. Food and alcohol cues will be from online and in-house collections. We picked four images of 
males and four images of females that are most highly rated for positive valence in the Erotic/Romance category of the 
International Affective Picture System (IAPS), based on a previous study by Ely et al. (2015). Control cues for this task will be 
taken from the NimStim picture set. The use of sexually attractive cues (other than alcohol and food) is an exploratory 
additional outcome we would like to investigate, in a preliminary manner, based on previous preclinical data indicating that 
ghrelin signaling within the tegmental areas is required for sexual behavior in sexually naïve male mice (Prieto-Garcia et al., 
2015; Egecioglu et al., 2015). The order of all tasks, food/alcohol/sexual as well as the cognitive measures (described 
below), will be randomized. Emerging research also links ghrelin signaling to neuromodulation, neuroprotection, memory 
and learning processes (for review, see Gahete et al., 2011), therefore we will also conduct two cognitive measures, i.e., 
Stroop and inhibitory Control: 
a) Stroop: Subjects are presented with various words written in different text colors. Subjects are asked to identify the 
color of the text. This is a measure of both attention and executive function. (time to complete: ~ 5 minutes). 
Inhibitory Control: assessed through a GO-NOGO task. Stimuli consist of an alternating series of X’s and Y’s 
presented at one per second.  Participants are told to press a button for each target stimulus while the stimulus is 
still present on the screen. Successful performance on this task requires prepotent behaviors to be inhibited. Note: 
The Go-NoGo task is approximately 25 minutes duration and not the primary imaging task we are investigating.  
Therefore, in order to avoid fatigue and discomfort that could impinge on primary task outcome 
(food/alcohol/sexual cues) we will administer this task last.   
The functional scans, will be acquired while the subjects are at rest (to conduct connectivity analyses) and while they 
participate in the tasks described above. Imaging will take place at the NIH Clinical Center. An initial structural scan will be 
collected on each subject for later co-registration of functional images. The structural scan will last approximately 10 
minutes. Functional scans will be acquired using a T2*-EPIRT sequence that measures changes in BOLD contrast. Visual 
stimuli will be projected onto an opaque screen at the foot of the imaging machine via a liquid crystal diode projector. 
Subjects will be able to view the images via a mirror placed above their head in the scanner. Subjects will remain in contact 
with the experimenters via an intercom while they perform the tasks. 
 
3. Food choices in the Immersive Virtual Environment Test Unit (IVETU) 
As reviewed by Volkow et al. (2013), there is increasing evidence that disruption of energy homeostasis can affect the 
reward circuitry and that overconsumption of rewarding food can lead to changes in the reward circuitry resulting in 

22 
compulsive food intake akin to the phenotype seen with addiction. Consistent with this concept, several lines of 
experimental research demonstrate significant commonalities between the neural substrates underlying addiction and at 
least some forms of obesity (Volkow et al., 2013). Consistent with this body of literature, it is conceivable that a medication 
effective in reducing alcohol craving and drinking, may also have effects in reducing appetite and food intake. This is the 
case, for example, of the FDA-approved naltrexone and of topiramate (for review, see: Leggio et al., 2011). Notably, our 
preliminary work (protocol 14-AA-0042) indicated that PF-05190457 reduced food cue-elicited craving in a “bar-like” 
laboratory. Albeit interesting, this preliminary finding needs to be further investigated. Therefore, we will explore the 
potential role of PF-05190457 administration on food-related behaviors. To achieve this goal, we will use the National 
Human Genome Research Institute (NHGRI) Immersive Virtual Environment Test Unit (IVETU) located on OP6 in the NIH 
Clinical Center in order to assess the potential effects of PF-05190457, compared to placebo, in a “virtual buffet.” The 
“virtual buffet” in the NHGRI IVETU has already been tested by Dr. Persky’s group in other IRB-approved clinical protocols at 
NHGRI (e.g., Bouhlal et al., 2015). This procedure permits us to investigate, in a well-controlled setting, direct observations 
of patients’ food selection behaviors. Participants will be given verbal instructions and will have a training session on how to 
use the “virtual buffet”. Participants will be instructed to choose foods and a beverage from a hypothetical buffet. In order 
to perform the virtual reality task, participants will wear a head mounted display connected to computer equipment and 
will use a pointing device to select the desired types and amounts of food and beverage. Included on the “Virtual Buffet” 
will be foods and beverages representative of those typically found at buffet restaurants and comprising a range of nutrient 
profiles and calorie densities. Consistent with the procedures already described in Bouhlal et al. (2015), participants will be 
instructed to choose as many and as much of the virtual food and beverages during one trip to the buffet as they would 
normally choose. Once the virtual plate is full, participants will have an opportunity to go back to the buffet and select 
additional virtual food. The buffet will contain at least two options for each food category that would typically be present at 
lunch (main dish, vegetable, fruit, starch, dessert, and beverages). Foods will be categorized as “Go” (the most healthy 
options), “Slow” (less healthy options) and “Whoa” (relatively unhealthy options), as described before (Bouhlal et al., 2015).  
Participants will indicate their food choice by using a pointing device and then will select the amount of food that will go on 
the plate (e.g., one spoonful, one piece). Following food selection, participants will be able to choose from several possible 
beverages. The virtual scenario will end when participants indicate they are finished selecting food and drink. During all 
phases of the scenario, we will digitally record participants’ location in the room, the direction of participants’ gaze, 
duration of the session, and all details regarding food selection. The patient’s food choice behavior will be assessed by 
calculating the total calories selected including foods and the beverage. Calorie content will be assessed by using the 
volume of the virtual food chosen by participants to calculate the appropriate number of calories based on information 
contained in food nutrient databases. Food-related outcomes will be analyzed, including calorie content of food and drink 
chosen, patterns of engagement with the food, order of food selection, time spent in the buffet, portion sizes selected, 
distribution of different food types on the plate, total calorie count of selected food with and without beverages, 
proportion of high calorie foods, sweetened beverage selection, spatial measurements, and food choice process. At the end 
of the procedure, participants will also fill out questionnaires to assess participant’s experiences in the virtual environment 
(see Appendix section). 
 
4. Additional data that will be collected during the inpatient phase: 
During the study, the following data will also be collected: 
- 
Alcohol Urge Questionnaire (AUQ)  
- 
Food craving using the General Food-Cravings Questionnaire (GFCQ) Trait (at baseline of Stage 1) and State 
- 
Affective mood states using the Profile of Mood States (POMS) 
- 
Blood samples for pharmacokinetic and research use (see “Use of Samples” section G below for details) 
These data will be collected at the beginning of each Stage (before the first study drug administration) and at 
the end of each Stage. These data outcomes will also be collected twice (pre- and post-procedure) during each 

23 
of the procedures described above, i.e., CR procedure, fMRI scan day whether subject has fMRI or not and 
IVETU procedure.  
- 
Blood samples for pharmacokinetic and research use will be taken daily (see “Use of Samples” section G below 
for details); additional blood samples will be taken post-testing for the CR, fMRI, and IVETU tasks 
- 
Waist circumference will be assessed twice during each Stage (first and last day of each Stage) in order to 
calculate the body shape index (BSI), which is, compared to BMI, a better indicator of health risks related to 
excess weight. 
- 
The Snaith Hamilton Pleasure Scale (SHAPS) (at baseline, end of Stages 1 and 2) to assess potential effects of 
the study drug on hedonic capacity. 
 
5. Subject characterizations:  The following are characterization measures of various behaviors and preferences 
administered either in questionnaire or task form. With the exception of smoking, all of these will be done once at the 
beginning of the study before study drug is administered (please see Appendix 2 – Table Outline for the Inpatient Phase 
for timing of these procedures). 
 
a) Sweet Preference Test. There is preclinical and clinical evidence linking the consumption of sweets to alcohol intake in 
both animals and humans (Leggio et al., 2011). We will test the possible effects of individuals’ sweet preference 
characteristic on our study outcomes. Prior to administration, a visual examination of the sucrose solution for any 
particulate matter will be conducted by a clinician, proceeding only if no particulate matter is identified.  Each subject will 
be instructed to sip, swish around his/her mouth and then spit out five different concentrations of a sweet solution (0.05, 
0.10, 0.21, 0.42 and 0.83 M) each of which will be presented five times in a pseudorandom order for a total of 25 tastings. 
After each tasting, participants will rate the intensity and pleasurableness of each tasting using a 200-mm analog scale. 
Then, participants will rinse their mouths with distilled water before proceeding to the next solution. Subjects will be 
characterized as sweet-liker or sweet-disliker based upon their hedonic response to the various sucrose concentrations. To 
be categorized as a sweet-liker, a subject must rate the highest concentration of sucrose (0.83 M) as the most pleasurable. 
Sweet-dislikers could prefer any of the other four concentrations. As part of this test, subject will also fill out the Sweet 
Preference Questionnaire (see Appendix 7 and corresponding SOP for reference in Appendix 12). 
 
b) Brief Addictive Behavior Social Density Assessment (BASDA). The BASDA is a self-reported assessment where participants 
self-report on their closest associates’ drinking behaviors (Bollinger et al., 2012). Participants are not asked to provide the 
names of their closest biological and non-biological associates. The goal is to explore the social milieu that usually surrounds 
the participant and to see if this information might help to predict craving behavior in our human laboratory setting. 
 
c) Behavioral approach system (BAS)/behavioral inhibition system (BIS) scale. The BAS/BIS scale was developed to measure 
individual differences in the sensitivity of the BIS and BAS (Carver & White, 1994). The scale is divided into 4 subscales: BAS 
Drive, BAS Fun Seeking, BAS Reward Responsiveness, and BIS. Much research suggests these systems play an important role 
in vulnerability to addiction. The individual differences in reward sensitivity measured by these scales are especially relevant 
to addiction when examining the role of the DA reward system. The goal of this assessment in the current study is to further 
explore how BAS and BIS personality traits relate to alcohol craving and the activation of reward circuitry. 
 
d) Virtual Buffet (IVETU) Questionnaires (Appendix 7):  The following questionnaires are assessments of individuals’ 
attitudes and cognitions relating to eating and weight that have been linked with behavior change. These characterization 
measures may help to explain variations in subject behavior in aspects of the trial (e.g., the virtual buffet, outpatient 
behavioral intervention). 
1. Perceived Family History: weight and alcohol problems 

24 
2. Implicit Theories of Weight, Alcohol Use and Eating (Burnette, 2010)  
3. Causal Beliefs Scale for Alcohol Dependence and Casual Beliefs Scale for Body Weight (Link et al., 1999; Moss-
Morris et al., 2002) 
4. Perceptions of Personal Control and Treatment Control  (Broadbent et al., 2006) 
5. Self-Stigma and Alcohol Dependence (Schomerus et al., 2011)  
6. Perceptions of passing down propensity for disease (Persky et al., 2015).  
 
 
f) Smoking. The high co-morbidity between alcohol and nicotine dependence reflects a strong connection between 
alcoholism and smoking (Littleton et al., 2007). We will assess the severity of nicotine dependence with the Fagerström Test 
for Nicotine Dependence (FTND; Heatherton et al., 1991), cigarettes smoked before and then during the duration of the 
study (via the TLFB) and Breath CO levels, for possible exploratory analyses, which might guide future alcohol/smoking 
studies. At the NIH Clinical Research Center, inpatients can smoke in a specific smoking area whose access is controlled by 
our nursing staff. Therefore, we will be able to collect the precise number of cigarettes smoked during the inpatient stay. 
Furthermore, when experimental procedures will take place, smoking breaks will be standardized across and between 
subjects. Finally, during each Stage, we will perform a smoking topography procedure to assess smoking behaviors such as 
smoking intensity (e.g., number of puffs, inter-puff intervals, peak puff velocity), while subjects smoke their first cigarette of 
the day on specified days during the study in the NIH CRC smoking area – this will help us to pilot a smoking topography 
device that we have recently purchased and would like to use in future studies. 
 
g) Genetics. A single whole blood sample (~2 mL) from each subject will be shipped to Dr. Akhlaghi from URI where it will be 
stored and DNA analyzed for polymorphisms of genes involved in PF-05190457 metabolism and transport, alcohol 
metabolism and ghrelin activity. 
 
6. Nutrition 
Participants will receive standardized meals developed in collaboration with the NIH Nutrition Department to control and 
monitor caloric intake within and across participants. Food-related data, including % of meal eaten, will be recorded. 
Participants may receive a regular diet during the washout period.  
 
7. Study Medication Check 
There is a possibility that subjects and/or Investigators might identify if they received the PF-05190457 compound or 
placebo. Therefore, at the end of each Stage, we will ask subjects and study physician which they believed they received. 
This information will be recorded. 
 
8. Measurements for safety monitoring 
The following safety measures will be performed repeatedly as per below (and also as needed, as the clinical situation 
dictates): 
- 
Vital signs, weight and BrAC (every day during each Stage, prior to study drug administration) 
- 
Check for potential adverse events (every day during each Stage) 
- 
Blood glucose via finger stick (3 times during each Stage) 
- 
Stanford Sleepiness Scale (3 times during each Stage) 
- 
EKG, electrolytes and liver and kidney function tests: at the beginning of Stage 1 before administration of the 
study drug and again at the end of Stage 1, and then twice during Stage 2 (before first drug administration and 
at the end of Stage 2) 
 
 

25 
 
9. Additional Considerations 
Medication Dose Justification. The dose of 100 mg b.i.d. was the highest dose used in the previous study (14-AA-0042) and 
was the dose that led to a reduction in cue-induced craving (Figure 5), the primary aim for this study. The same dose of 100 
mg b.i.d. was previously used in the last Phase I study (B3301002; clinicaltrials.gov: NCT01372163) conducted by the 
manufacturer (Pfizer). 
Medication Compliance. During the study, the drug will be administered at the NIH Clinical Center, which will assure 100% 
compliance with the study medication.  
Missing data. While missing data will be minimized, we do expect that we will not always be able to collect all planned data 
(an example of a scenario is missing blood samples due to problems with the cannula, hemolysis, and other technical 
problems). Nonetheless, every effort is made to minimize these unforeseen problems with equipment or study procedures. 
If one should occur, we will ask the participant to repeat a specific experimental procedure (if allowed by the overall study 
schedule, if it is feasible and if the participant agrees) in order to avoid having to discard other usable data from a 
participant. Subjects may receive additional compensation if experimental sessions are repeated, consistent with the 
NIDA/NIAAA Remuneration Policy.  
Data sharing with other protocols. Data obtained under this protocol and the NIAAA screening 14-AA-0181 protocol as well 
as with Protocol 14-AA-0066, Behavioral and Functional MRI Task Development, Implementation and Testing may be shared 
and combined for analysis. Both protocols, 14-AA-0181 and 14-AA-0066 protocols are protected by a Certificate of 
Confidentiality. This will also allow to avoid repeating assessments that are scheduled in both protocols during the same 
period of time, therefore avoiding duplication ad minimizing participants’ fatigue.  
This protocol does not meet criteria for genomic data sharing.  
 
 
OUTPATIENT PHASE 
 
11. Follow-up Visits and Behavioral Intervention 
After the inpatient phase is completed and the patient is discharged, s/he will be scheduled to come back to the NIH for up 
to 8 optional outpatient follow-up visits.  The first outpatient visit will be approximately a week after inpatient discharge, 
with flexibility based on Outpatient Clinic and patient’s schedule. During these outpatient visits, BrAC, vital signs and weight 
will be assessed. At each visit, the patient’s alcohol and drug use will also be assessed using the Timeline Follow-Back (TLFB).  
If BrAC is positive, subjects will wait until BrAc is below 0.00 (g/dl) to begin session or will be rescheduled and offered cab 
transportation home unless a licensed driver accompanied the patient and will be providing transportation. During these 
outpatient visits, male patients will also be reminded about necessity to refrain from sexual activity for the 28 days 
following the last dose of study medication (details in the inclusion criteria Section F-b and in the consent form).  
 
During the follow-up visits, patients will receive a behavioral intervention. We propose to use video feedback of 
motivational interviewing sessions, and, as a comparison intervention, supportive counseling.  The motivational 
interviewing with video feedback incorporates principles from feed forward learning strategies, video feedback 
interventions and motivational interviewing to promote sustained motivation for abstinence, insight into addiction and 
confidence to change behavior.  
 
11.1 Measures (see also Appendix)  

26 
Motivation: The Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES) (Miller and Tonigan, 1996) 
measures whether or not patients recognize drinking problems, ambivalence or uncertainty about drinking, and whether or 
not the patient is currently taking steps to change. It is a measure of overall motivation for abstaining from alcohol. 
Situational Motivation Scale (SIMS) (Guay et al., 2000): evaluates the specific type of motivation prompting behavioral 
change – it differentiates between four different types of motivation: intrinsic, identified regulation, external regulation, 
and amotivation. The questionnaire uses the following definitions of each motivational type:  
• 
Intrinsic motivation: behaviors that are engaged in for their own sake, in other words, for the pleasure and 
satisfaction derived from performing them.  
• 
Identified regulation: behaviors the patient recognizes as beneficial, but ones that she pursues because of its 
perceived outcome, rather than because she finds the behaviors inherently satisfying 
• 
External regulation: behavior patients feel forced into because it regulates rewards or helps them avoid negative 
consequences 
• 
Amotivation: behaviors pursued with no sense of purpose or expectation of rewards 
 
Insight: The Hanil Alcohol Insight Scale (HAIS) (Kim et al., 1998) is a well validated, 20-item questionnaire used to objectively 
evaluate a patient’s insight into their alcoholism. Reflective Functioning: Beck Cognitive Insight Scale (modified) (Beck et al., 
2004) measures “cognitive insight,” or a person’s capacity to achieve insight into a specific problem or issue. The 15 item 
scale evaluates capacity for insight through questions that reflect a patient’s self-certainty and self-reflectiveness and we 
have modified this scale to focus on alcohol use.  The Mindful Attention Awareness Scale (Brown and Ryan, 2003) is a 15 
item scale that measures dispositional mindfulness and the Curiosity and Exploration Inventory-II (Kashdan et al., 2009) is a 
10 item scale that measures the tendency to seek and embrace new knowledge and experiences. The University Rhode 
Island Change Assessment Scale (URICA) (DiClemente & Hughes, 1990) is a 32-item self-report measure that includes 4 
subscales measuring the stages of change with respect to treatment for substance use disorders: Precontemplation, 
Contemplation, Action, and Maintenance. 
Shift in attributions question (modified from Schechter et al. (2006)) measures shifts in attitudes toward alcohol:  “Tell me 5 
words or short phrases (adjectives) that describe how you think alcohol affects you.”  
We hypothesize that video feedback in conjunction with motivational interviewing and self-modeling, then, has the 
potential to help patients to shift motivations and behaviors towards alcohol, as well as maintain abstinence or reduce 
alcohol drinking, over time. 
11.2 Overview of the Procedure 
During this outpatient phase, patients will come into the NIAAA Outpatient Clinic at the NIH Clinical Center for 8 visits and 
there will be two phases:  4 visits of motivational interviewing sessions with video feedback and 4 visits of supportive 
counseling, using a crossover design with the order of the two phases counterbalanced across participants.  All counseling 
sessions will be conducted by a physician, nurse practitioner, nurse or masters level counselor.  
 
Motivational Interviewing with Video feedback Phase 
Motivational interviewing sessions will be conducted at the initial visit and at alternating visits thereafter with video 
feedback of these sessions during the intervening weeks.  During the videotaped motivational interviewing session, the 
patient and clinician will discuss in progression the following topics:  

27 
• 
Reasons for abstinence  
• 
Triggers and the patient’s reactions (physical, mental) to them 
• 
Reasons for abstinence having just discussed their triggers 
• 
Description of a time when the patient refused alcohol 
• 
Reasons for abstinence having just discussed a time when they had successfully refused alcohol 
We start the conversation with a discussion about the reasons for abstinence to gain insight into why they want to stop 
drinking prior to making them conscious of how they react to alcohol and how they have tried to avoid it in the present or 
the past. The second portion of the discussion is a dialogue about the patient’s triggers and responses to them. We included 
this question to instigate a conversation that will help us understand how a patient’s motivation shifts when presented with 
triggers. Following a conversation about the triggers, we return to a discussion about the patient’s motivation for 
abstinence.  We chose to include a discussion about a patient’s drive to abstain from alcohol after discussing triggers to see 
whether or not conversations about experiences with alcohol, or people and objects that remind them of alcohol, causes 
any variation in the way patients discuss their motivation. The fourth portion of our conversation on motivation for 
abstinence will discuss how patients have successfully coped with triggers and situations where alcohol was present. This 
portion of the conversation serves two purposes: to help patients understand how pre-existing and developed behaviors 
have laid the foundation for successful abstinence, and to give them a chance to reflect on the experience of refusing 
alcohol. Lastly, we end with a discussion of a patient’s motivation for abstinence, to evaluate the impact discussions of 
successful abstinence when faced with alcohol or alcohol-related stimuli may have on a patient’s reasons for motivation or 
self-reported motivation levels.  The session should take 30-45 minutes to complete.  Between video-taping and 
motivational interviewing sessions, the clinician will review the video-tape for clips that represent positive motivations, 
negative motivations, strong reactions to triggers, and opportunities to present models of successful behavior for the 
patient to try and emulate.  
Visits 1 and 3: At Visit 1, the subject will complete the following questionnaires at baseline:  
• 
Motivation to change (SOCRATES) (Miller & Tonigan, 1996) 
• 
Situational Motivation Scale (SIMS) (Guay et al., 2000) 
• 
Hanil Alcohol Insight Scale (HAIS) (Kim et al., 1998) 
• 
Beck Cognitive Insight Scale (Beck et al., 2004), modified 
• 
Attributions towards alcohol (modified WMCI question) (Schechter et al., 2006) 
• 
Mindful Attention Awareness Scale (Brown and Ryan, 2003) 
• 
Curiosity and Exploration Inventory-II (Kashdan et al., 2009) 
• 
University Rhode Island Change Assessment Scale (URICA) (DiClemente & Hughes, 1990) 
 
• 
 Meta-cognition tasks: Meta-cognition, an individual’s ability to comprehend and be mindful of their thought 
process, is thought to be disrupted in individuals that abuse substances (Goldstein et al., 2009). One task will 
measure an individual’s sense of agency (the amount an individual feels they are the cause of actions around them). 

28 
The other task will measure individual’s perceptual meta-cognition abilities, or how well they believe they can 
discriminate between two stimuli.  
1. Agency Task: The agency task was designed to assess individual’s sense of control (Metcalfe et al., 
2007). Individuals will use a computer mouse to “catch” falling stimuli (Xs or Os) that are randomly 
distributed across the screen by moving a small box across a horizontal track. Individuals will then be 
assessed on their subjective feelings of control over the small box and performance on the task. 
Turbulence of the mouse, speed of the scroll, and density of targeted stimuli will vary across the 24 
trials conducted. This allows us to collect both subjective (self-reported control and performance) and 
objective (turbulence of the mouse and actual performance) to compare an individual’s ability to think 
about their performance and agency.    
2. Flemings Dots Task: The Fleming Dots task was developed to assess perceptive meta-cognition. Two 
circles will appear on the computer screen containing varied number of dots. After the two circles 
disappear, individuals undergo a forced choice paradigm, in which they choose the circle that contained 
the most dots. The difference in dots between the two circles is titrated so that after two continuous 
correct answers the difference in the number of dots between the two circles decreases, and after one 
incorrect answer the difference in the number of dots increases. This is done so that the difficulty of the 
task is equal between participants (Fleming et al., 2010).  Individuals are then asked to rate how 
confident they feel about their answer.  
 
Then the patient will undergo a motivational interviewing session as described above. For Visit 3, a videotaped motivational 
interviewing session only will be done. 
Visits 2 and 4: During these visits, the patient will view the video of the previous week’s videotaped session. Clinicians who 
run motivational interviewing video feedback sessions with patients should pre-select four thirty second clips to highlight 
while the patient and clinician watch the entire video clip from the previous week. The clinician should select video clips 
that represent the following:  
• 
An “optimal” moment – a moment when the clinician believes the patient discusses their reasons for motivation 
most authentically.    
• 
A moment of stress – a moment when the patient demonstrated a stress or emotional reaction to discussions of 
triggers or encounters with alcohol 
• 
A moment of successful coping – a moment when the patient discusses successful restraint in using alcohol when 
presented with triggers or situations related to alcohol.  
• 
A “suboptimal” moment – a moment where the clinician believes the patient’s reasons for abstinence sound 
superficial and disingenuous.  
We have chosen to identify optimal, stressful, successful coping, and suboptimal moments because previous studies have 
shown the importance of making patients aware of the thought processes and patterns that make them susceptible to 
relapse. Allsop & Saunders (1991) demonstrated that “the processes involved in relapse are identical to those involved in 
the making and breaking of any resolution to change any behavior”. Thus, the optimal moment and moment of successful 
coping help the patient recognize the appropriate attitudes and decision making processes that will help them abstain from 
alcohol over time. Identifying the moments of stress and disingenuous reasons for motivation, likewise, increase awareness 
of situations and thought processes that may make the patient more prone to relapse.  These feedback sessions will also be 
videotaped. 
 
The videotapes will also be coded for verbal and nonverbal behavior with respect to motivation for change. A Reliance 
Agreement has been put in place with Montclair State University, where AI Dr. Amrhein will assist in developing a rating for 

29 
assessing the videotaped motivational interviewing sessions and feedback sessions that will be coded for verbal and 
nonverbal behavior with respect to motivation for change. 
After the feedback session, patients will fill out the following questionnaires to assess changes in motivation, insight, 
cognitive insight, and attributions towards alcohol at intervals throughout the experiment: SOCRATES, SIMS, HAIS, modified 
Beck Cognitive Insight Scale (modified), the modified WMCI question, the Mindful Attention Awareness Scale, the Curiosity 
and Exploration Inventory-II, the URICA and Metacognition Tasks: Agency Task and the Flemings Dots Task. 
Supportive Counseling Phase 
The 4 visits of supportive therapy will consist of outpatient visits with supportive counseling sessions lasting approximately 
the same duration as the motivational interviewing sessions.  In addition, the questionnaires: SOCRATES, SIMS, HAIS, 
modified Beck Cognitive Insight Scale, Mindful Attention Awareness Scale, the Curiosity and Exploration Inventory-II, URICA 
and the Meta-cognition tasks:  Agency Task and Flemings Dots Task will be completed after sessions on Visits 2 and 4 of this 
phase.  
 
F. Inclusion and Exclusion Criteria 
 
 a.  
Description of study population 
This study will enroll individuals with AUD who are treatment- or non-treatment-seeking. The following inclusion/exclusion 
criteria will be assessed via the NIAAA Screening Protocol 14-AA-0181: 
 
b. 
Inclusion criteria 
 
1. Male or female individuals 18-70 years old (inclusive) 
 
2. Current Alcohol Use Disorder (AUD) by DSM-5 criteria based on the SCID 
 
3. Most recent urine drug test for illegal drugs of abuse is negative 
 
4. Most recent Clinical Institute Withdrawal Assessment for Alcohol – revised (CIWA-Ar) score is ≤ 8 
 
5. Heart rate ≤ 100 on two separate measurements, both assessed after CIWA-Ar score is ≤ 8 
 
6. Female subjects must be of non-childbearing potential as defined by at least one of the following criteria: 
a) Females 45 –70 years old, who are menopausal, defined as follow: 
i) Females who are between 45 – 55 years old: they will be considered menopausal if they satisfy all the following 
three requirements during screening:  1) they are in amenorrhea, defined as absence of menstruation for the 
previous 12 months; 2) they have a negative urine pregnancy test; and 3) they have a serum FSH level within the 
laboratory’s reference range for postmenopausal females. 
ii) Females who are between 56 – 70 years old: they will be considered menopausal if they are in amenorrhea, 
defined as absence of menstruation for the previous 12 months before screening. 
 
OR 
 
b) Females 21-70 years old, who have a documented hysterectomy and/or bilateral oophorectomy. 
 

30 
All other female subjects (including females with tubal ligations and females that do NOT have a documented 
hysterectomy) will be considered to be of childbearing potential. 
 
7. Male subjects must use one of the following methods of contraception from the first dose of study medication and until 
28 days after dosing (given that it is unknown whether the effects of this drug can cause birth defects): 
a. Abstinence. 
 
b. A condom AND one of the following: 
 Vasectomy for more than 6 months.  
 Female partner who meets one of the following conditions: 
a) Has had a tubal ligation, hysterectomy, or bilateral oophorectomy;  
b) Is post-menopausal;  
c) Uses one of the following forms of contraception: 
• 
Copper or hormonal containing IUD; 
• 
Spermicidal foam/gel/film/cream/suppository; 
• 
Diaphragm with spermicide; 
• 
Oral contraceptive; 
• 
Injectable progesterone; 
• 
Subdermal implant. 
 
 
 
c. 
Exclusion criteria 
 
  
1. Lifetime clinical diagnosis of schizophrenia or bipolar disorder 
 
2. EKG with QTc > 450 msec as determined by  the Fridericia formula 
 
3. BMI  < 18.5 kg/m2 or anorexia 
  
4. BMI ≥ 40 kg/m2 
 
5. History of epilepsy and/or seizures 
NOTE: individuals who have a history of alcohol withdrawal seizures may be in the study as long as they have 
been abstinent from alcohol for at least 2 weeks prior to consent and during that period of abstinence, there 
were no seizure episodes (otherwise, participant remains not eligible). 
 
6. Most recent blood tests show creatinine ≥ 2 mg/dL, AST or ALT > 3x the upper normal limit, hemoglobin <10.5 g/dl 
 
7. Subjects who have diabetes and/or are treated with any drug with glucose lowering properties such as sulfonylurea, 
insulin, metformin, thiazolidinediones (TZD), Dipeptidyl peptidase-4 (DPP4) inhibitors, or Glucagon-like peptide-
1(GLP-1)agonists (due to the glucose-lowering properties of PF-05190457 observed in healthy volunteers) 
 
8. Exclusionary Medications: 
 
A. 
Naltrexone, acamprosate, alcohol dehydrogenase inhibitors, topiramate, gabapentin, ondansetron, 
benzodiazepines, and alpha-1 blockers, baclofen, drugs that are known to prolong the QTc interval and barbiturates 

31 
as well as hormone replacement therapy; medications and dietary/herbal supplements (like St. John's wort) that 
interact with Cytochrome P450 3A4. Patients who take these medications may be enrolled in the study only if the 
potentially interacting medication has been stopped for a period of at least 5 half-lives of the interacting medication 
before PF-05190457 administration.  Patients who take these medications on an as needed (PRN) schedule or take 
the medication as a one-time dose as part of a medical procedure or a diagnostic test, for example, may not have to 
wait the 5 half-lives’ period of time before enrollment; this will be evaluated on a case by case basis by the MAI 
and/or PI, based on the specific pharmacological properties of the medication.  
 
9. Unable to pass a finger rub hearing test 
 
10. Vision is unable to be corrected to (Snellen) 20/100 
 
11. Clinically-significant history of motion or car sickness, or history of vestibular disorders  
 
12. Any other reason or clinical condition for which the PI or the MAI will consider unsafe for a possible participant to 
participate in this study 
 
Exclusion Criteria for fMRI only:  
1. Have contraindications for brain fMRI, as determined by the NIAAA MRI Safety screening form 
(conducted under the 14-AA-0181 Screening Protocol) 
 
2. Colorblindness (this would prevent subject from completing the Stroop task) using the Ishihara Test for 
Color Deficiency, Concise Edition, 2014. 
 
 
 
G. Collection and Storage of Human Specimens or Data 
 
1. Use of samples  
Blood samples will be used for: 
a) Pharmacokinetic use: samples will be used to analyze PF-05190457 plasma concentrations, its known metabolites, 
and conduct PK/PD analyses (analyses conducted at Dr. Akhlaghi’s URI Lab) as per fully executed MTA. 
b) Research use: samples will be used for future analyses (performed either in our own lab at NIH or at Dr. Akhlaghi’s 
URI Lab) of blood ghrelin levels, as well as other feeding-related peptides (e.g., leptin, GLP-1, amylin, GIP, pancreatic 
polypeptide, PYY, GH, insulin, etc.), stress-related hormones (e.g., ACTH, cortisol, etc.) and/or inflammatory markers 
(e.g., cytokines, etc.) that may be analyzed for exploratory analyses.  
c) Clinical use: samples will be used to analyze clinical labs via the NIH Clinical Center Department of Laboratory 
Medicine (e.g., glucose, AST, ALT, GGT, bilirubin, Creatinine, and electrolytes). 
 
 
2. Sample Storage 
Data will be stored on NIH data servers, under the management of the ORIT, NIAAA and under the management of the 
NIDA IRP Biomedical Informatics Section (BIS). The existence and types of information contained in the data management 
system have been publicly reported as required by the FOIA. 
Blood not processed via the Department of Laboratory Medicine at the Clinical Center will be processed and stored in -80 °C 
freezers. All biological specimens obtained under this protocol will be stored in coded form (protocol plus subject number) 
in freezers located in the access-controlled laboratory area of NIDA. Additional samples will be shipped to URI, Dr. 
Akhlaghi’s lab. All results generated in Dr. Akhlaghi’s lab for this project will be sent to the PI and his team at NIH.   

32 
Storage of video tapes:  Video tapes will be stored on a password protected computer operated by an approved research 
team member under supervision of the PI.  A copy of videotapes will be sent to Dr. Amrhein’s registered email address 
through NIH secure email file transfer.  All tape recordings and copies made that are collected under this protocol will be 
destroyed no later than 1 year following study completion. 
Biosensor Data 
Data from biosensors will be sent electronically to Dr. Fletcher’s laboratory at MIT where it will be analyzed.  
Data being analyzed will be identified by participant codes and identifying information will be removed. Each participant will 
be assigned a participant code and their data will be associated with this code number.  The participant code only will be 
attached to data transferred to MIT using the NIH Secure Email File Transfer (SEFT) approved encryption service.  All data 
with identifying information will be stored on password-protected computers in the CPN Section at NIAAA. 
Bed Sensor: Although the device is capable of streaming data wirelessly over Bluetooth to a tablet or mobile phone, for this 
study, the data shall be recorded internally on a memory card. (Micro-SD).  The data will be copied to a laptop at NIAAA and 
data will be transferred to MIT for data analysis.  
Thermal Camera:  images will be downloaded from the iPAD to an NIAAA computer will be transferred electronically to MIT 
for analysis. 
 
H. Statistical Analysis 
1. Analysis of data/ study outcomes 
Outcome data will be examined for homogeneity of variance, and if necessary transformed to meet this criterion. As this is 
a within-subjects design, repeated measures analysis of covariance (ANCOVA) will be used to analyze the primary outcome, 
with drug condition as the within-subjects factor. Similarly, for secondary outcome measures, repeated measured ANCOVA 
will also be used. A probability level of 0.05 or lower will be considered significant. 
As for the neuroimaging data, we will use AFNI software to analyze our data. As a first step we will preprocess the data to 
correct for motion and then realign the functional volumes to the anatomical volumes. Subsequently, we will perform a 
regression analyses. Voxels are considered active if the total variance accounted for by the best-fit combination of the 
regressors of interest will exceed a chosen F ratio (P = 0.05 per voxel, uncorrected for multiple comparisons). We will also 
perform a subtraction analyses between different BOLD responses. To create the average activation maps, we will perform 
a random effect approach (activation amplitude and t-values will be averaged in each voxel in standardized space across 
subjects). Group maps will thresholded using 3dClustSim (an analysis module within AFNI). A cluster size of at least 5 voxels 
will be determined by Monte Carlo simulation. 
 
2. Power analysis 
We chose an effect size dz = 0.4 which is consistent with effect sizes of cue reactivity observed for other medications like 
naltrexone, acamprosate and topiramate. Considering the following parameters: dz = 0.4, α err prob = .05, and power (1-β 
err prob) = .80, a sample size of 41 subjects will be needed.  For fMRI, our sample size of n=27 is based on the study by Hariri 
and colleagues (Hariri et al. 2002) , who used the same task in an fMRI study (between subjects design) with a similar 
sample size subjects.   
 
3. Accrual number 
Consistent with the within-subject design, our previous protocol testing the same study medication (14-AA-0042), the 
inpatient setting and other human laboratory studies performed in our Clinical Program at NIAAA, we anticipate that 

33 
approximately 25% of the enrolled participants may not complete the study. Therefore, we anticipate to enroll up to 55 
subjects in order to reach at least 41 completers to satisfy the primary aim 
 
I. 
Human subjects’ protection plan 
 
1. Consent documents and process 
 
Procedures conducted before obtaining consent for this protocol 
Screening: subjects are prescreened by phone and then screened in-person through the NIAAA Screening protocol 14-AA-
0181, which will provide the necessary data to determine eligibility to this protocol. 
Clearance for eligibility: inclusion/exclusion criteria will be reviewed by a team of three individuals: research coordinator (or 
designee); a registered nurse or nurse practitioner; and PI or AI designated by the PI. All three signatures will be required in 
order to establish participants’ eligibility to this protocol. 
 
Consent procedures 
Eligible subjects are enrolled in this protocol after the study-specific consent form for this protocol is obtained. Study 
investigators designated in the “Qualifications of Investigators” section below will obtain informed consents for the studies 
of this protocol. All participants will receive a verbal explanation in terms suited to their comprehension of the purposes, 
procedures and potential risks of the study and of their rights as research participants. Participants will have the 
opportunity to carefully review the written consent form and ask questions regarding this study prior to signing.  
Participants will be asked to sign and date the informed consent. A copy of the signed and dated consent will be given to 
each participant. As part of the consent procedure, participants’ ability to understand the consent will be evaluated using 
the ‘NIDA/NIAAA Evaluation of Potential Research Participants’ Ability to Consent’.  Subjects must answer all questions 
correctly to proceed with consent signing. 
 
2. Qualifications of Investigators 
 
Lorenzo Leggio, M.D., Ph.D., M.Sc., is a Senior Investigator at NIAAA and NIDA and Chief of the Section of 
Psychoneuroendocrinology and Neuropsychopharmacology (CPN). He has several years of clinical and academic experience 
in the field of addiction medicine. He has extensive experience in direct patient care, and direction and execution of clinical 
trials. Before joining NIH, he was Core Faculty at the Brown University Medical School. There, he conducted 
pharmacotherapy human laboratory studies funded by NIH and Foundations at the Brown University Center for Alcohol and 
Addiction Studies, where he still holds an adjunct position as Associate Professor. Dr. Leggio is the PI of this study and will 
be responsible for the conduct, analysis and publication of the results of the study. He will obtain consent for this study. 
 
 
Mehdi Farokhnia, M.D., is a Staff Scientist in the NIAAA-NIDA joint Section on Clinical Psychoneuroendocrinology and 
Neuropsychopharmacology (CPN). He completed medical school at Tehran University of Medical Sciences and has over 5 years of 
experience in psychiatric research. During medical school and after that, he has been involved in conducting a variety of research 
projects while working as a research associate at the Psychiatric Research Center, Roozbeh Psychiatric Hospital. He will obtain 
consent for this study. 
 
 
Melanie Schwandt, Ph.D., is a Staff Scientist in the NIAAA Clinical Program. She has more than 10 years of experience in 
constructing, managing and analyzing large datasets that combine behavioral and physiological outcomes, including pre-
clinical research involving alcohol-related phenotypes and clinical research involving data analyses from clinical 
experimental medicine studies. She will assist the PI in the analysis of the data. She will not obtain consent for this study. 
 

34 
Reza Momenan, Ph.D., is a Staff Scientist and Acting Chief in the Section of Brain Electrophysiology and Imaging, NIAAA. He 
has extensive experience in human brain imaging including MRI and fMRI and will guide the image pre-processing, 
processing and image analysis methods. He will provide support in conducting the fMRI sessions and will assist with the 
analyses of the imaging data. He will obtain consent for this study. 
 
Susan Persky, Ph.D., is an Associate Investigator and Head of the Immersive Virtual Environment Testing Unit in the Social 
and Behavioral Research Branch (SBRB), National Human Genome Research Institute (NHGRI), NIH. She earned a B.A. in 
psychology for Northwestern University. She Earned an M.A. and Ph.D. in social psychology from the University of 
California, Santa Barbara where she studied at the Research Centers for Virtual Environments and Behavior. After 
conducting postdoctoral research at Columbia University, she joined the SBRB in 2005. Here, she built and led the 
Immersive Virtual Environment Testing Area, an immersive virtual reality technology-based experimental research lab 
within the SBRB. She became an associate investigator at NHGRI in 2009, and the head of the Immersive Virtual 
Environment Test Unit in 2011. She will not obtain consent for this study. 
 
Fatemeh Akhlaghi, Pharm. D., Ph.D., is a tenured full professor in the College of Pharmacy, University of Rhode Island (URI) 
and adjunct associate professor of Medicine at Brown University Medical School. Her area of specialty is clinical 
pharmacology in diabetes and transplantation; she also conducts clinical pharmacokinetics research at Rhode Island 
Hospital, Providence, RI. Dr. Akhlaghi is also a member of the IRB at URI. Dr. Akhlaghi is the Co-PI, together with Dr. Leggio, 
of the multiple-PI UH2/UH3 grant funded by NCATS. Her laboratory at URI will receive samples that are de-identified from 
Dr. Leggio’s studies at NIAAA during this NCATS project.  She will not obtain consent for this study. 
 
 
 
 
Daria Piacentino, M.D., Ph.D., M.Sc., is a Visiting Post-Doctoral Fellow in the NIAAA-NIDA joint Section on Clinical 
Psychoneuroendocrinology and Neuropsychopharmacology (CPN). She received her M.D. and Ph.D. from Sapienza 
University of Rome and Policlinico Umberto I hospital. She comes to the NIH with extensive clinical and research experience 
working in the Department of Neurology and Psychiatry with a focus on the diagnosis and treatment of substance abuse 
and behavioral addiction. She received a M.Sc. degree in Medical Statistics and Statistical Methods for Epidemiology from 
the University of Milan. She will assist the research team with data collection and analyses, help with experimental 
procedures and participant visits as per protocol. As a non-FTE staff member, Dr. Piacentino will explain the consent form to 
participants under the direct supervision of a federal employee (FTE) who will sign the consent form.   
Monica Faulkner, Ph.D., is a  Post-Doctoral Fellow in the NIAAA-NIDA joint Section on Clinical Psychoneuroendocrinology and 
Neuropsychopharmacology (CPN). She received her PhD in Psychology with a concentration in Behavioral Neuroscience from the 
University of North Carolina at Chapel Hill in 2018. Her research has focused on investigating the neuromechanisms of addiction 
using cognitive behavioral testing, neuroimaging, and pharmacology. She will assist the research team with data collection and 
analyses, help with experimental procedures and participant visits as per protocol As a non-FTE staff member, Dr. Faulkner will 
explain the consent form to participants under the direct supervision of a federal employee (FTE) who will sign the consent form.  
 
. 
 
 
 

35 
 
 
3. Subject Selection 
Adults who fulfill the qualification criteria will be included, regardless of race, ethnicity, sex, or religious affiliation. At this 
stage of development of this compound (PF-05190457), the manufacturer recommends to exclude women of childbearing 
potential because reproductive and developmental toxicity studies with PF-05190457 have not been conducted. Therefore, 
in order to be eligible for this study, female participants must be menopausal or surgically sterile. Definition of menopause 
and requirements to proof menopausal status are detailed in the inclusion criteria section of the protocol. Proof (medical 
records, certification from an MD) of surgical sterility will be required. Furthermore, as the effects of this drug on fetal 
development are unknown, male subjects will be informed verbally and in the consent form that they must be abstinent or 
use specific precautions, which are detailed in the inclusion criteria section of the protocol, starting with the first dose of 
study drug and continuing for 28 days after their last dose of study drug. 
 
4. Recruitment 
Participants will be recruited through referrals from the NIH Volunteer Office, and from the Patient Recruitment and Public 
Liaison (PRPL) Office as well as through ResearchMatch.org (facilitated through PRPL). ResearchMatch is a voluntary service 
that matches people interested in being research participants with researchers conducting a wide range of studies. 
ResearchMatch is currently used for other protocols in our Clinical Program at NIAAA, as well as for many other NIH 
protocols. ResearchMatch is a Clinical and Translational Science Awards (CTSA) initiative funded by the National Center for 
Advancing Translational Sciences (NCATS), part of the National Institutes of Health. Furthermore, participants will also be 
recruited by word of mouth and through local advertisements. Advertisement language will be used as flyers with tear off 
tabs, posted on the NIH campus, campuses of universities and colleges in the greater Washington DC area, as well as in 
billboards of public places and public transportation services in the greater Washington DC area. Advertisements will also 
be posted in electronic and printed local media, including newsletters, websites and local newspapers in the greater 
Washington DC area (for example, the ‘Express’). Listserv ad will be used on craigslist.org, under the volunteers’ section, as 
well as in NIH and other local email distribution lists, that are moderated, and following approval from the managers of 
these lists. ‘ClinicalTrials.gov’ may also represent a source of recruitment. Finally, participants will also be recruited via the 
NIAAA Screening Protocol 14-AA-0181), as these protocols serve as the screening protocols not only for this study but also 
for other protocols at the NIAAA Intramural Clinical Program.  
5. Children 
Children < 18 years of age will not be studied. 
 
6. Vulnerable populations 
Vulnerable populations will not be studied.  
 
7. Evaluation of Risks/Discomforts and Benefits ratio 
1. Anticipated Benefit 
This study does not offer direct benefit to participants. However, the outpatient phase will provide participants with 
behavioral intervention and counselling, from which they might benefit. Additionally, contemporaneous with their 
enrollment in the present protocol, subjects are enrolled in 14-AA-0181 which provides standard treatment on the inpatient 
unit which the subjects may receive if desired. 
Classification of risk 
Overall risk and discomfort in this study is “more than minimal”. The increase over minimal risk, discomfort is minor, and 
every precaution and protection to minimize any risks will be taken as described in a previous section. This level is justified, 

36 
because it will markedly facilitate medication development for AUD, and thus contribute to addressing major unmet 
medical needs. As such, the risk:benefit ratio of the proposed study is favorable. 
2. Justification of sensitive procedures 
This study employs the use of placebo to evaluate the effects of the study medication under investigation. This is the 
required standard set by the FDA for evaluation of drugs.  
 
 
 
J. Protection of Participants’ Privacy and Confidentiality 
This protocol is covered by a Certificate of Confidentiality (CoC).  Strict subject confidentiality will be maintained throughout 
the study. Confidentiality and information technology standards are in place at the NIAAA intramural program to protect 
electronic repositories of patient data as well as other clinical patient related material. It is reasonably expected that these 
safeguards will protect participants' medical and personal health information, ensuring their privacy.   
 
Information obtained in the course of participating in this protocol will become part of the patient's NIH medical record. 
Third parties may request access to this information. However, access will not be granted without the explicit, written 
consent of the subjects. Samples and data will be stored using codes that we assign.  Data will be kept in password 
protected computers.  Samples will be kept in locked storage.  Only study personnel will have access to the samples and 
data. Additional biological specimens obtained under this protocol will be stored in locked storage in coded form (protocol 
identifier plus randomization nr), in -80 °C freezers located in Dr. Akhlaghi’s Lab at URI. 
 
K. Study Agents/Interventions 
 
Study Drug 
Description of study medication side-effects is based on the previous studies conducted by Pfizer as well as our previous 
study 14-AA-0042. 
The most common side effects noted in studies giving PF-05190457 to humans are: somnolence (sleepiness), headache and 
fatigue (tiredness) as well as decrease in serum glucose, and increased heart rate. 
Less common side-effects are: abdominal discomfort, abdominal distention, abdominal pain, upset stomach, diarrhea, 
constipation, defecation urgency, gastrointestinal sounds abnormal, flatulence, gastroenteritis, upper respiratory tract 
infection, nasal congestion, nasopharyngitis, rhinorrhea, oral herpes, elevated transaminases, rhabdomyolysis, arthralgia, 
pain, pain in extremity, pain in jaw, swelling, hot flush, conjunctival hyperemia, acne cystic, face edema, hemoglobin 
decreased, dizziness, paraesthesia, hypoaesthesia, lethargy, dermatitis contact, photosensitivity reaction, hematoma, 
hemorrhage, abnormal eye exam, muscular weakness, musculoskeletal chest pain, depressive mood, euphoria, drowsiness, 
increased appetite, insomnia, irritability, difficulties to concentrate and sweating.    
Most of the side-effects were mild and a few of them were moderate. There were no severe side-effects. 
Our team in the CPN lab as well as the CC nursing staff are well familiar with PF-05190457, as we have already conducted 
and successfully and safely completed another study with this drug (14-AA-0042). Risks of medication will be minimized 
through careful and detailed screening of participants to minimize recruitment of those who might be at higher risk for 
adverse events, as well as careful and detailed monitoring of adverse events and participant well-being during the study. As 
detailed in the research strategy, a screening visit will be performed before enrolling any subject, under the NIAAA 
Screening Protocol 14-AA-0181. This screening visit will include a comprehensive clinical assessment, including physical 
exam, testing, psychiatric and medical history, blood and urine tests, and interviews aimed at assessing all 

37 
inclusionary/exclusionary criteria listed. For enrolled subjects, adverse medication effects will be systematically evaluated 
and recorded.  Ad hoc clinical, laboratory and diagnostic assessments may be performed, should a participant present with 
specific symptoms, as the clinical situation may dictate. If adverse events are serious or intolerable, participants will be 
withdrawn from the study and given treatment and or referral as the situation dictates. Concomitant medications will be 
evaluated carefully before randomizing participants, as detailed in the exclusion criteria section above. 
 
Blood draw and finger stick 
The total amount of research blood to be drawn for this protocol will be approximately 434 cc  which is within the NIH 
Clinical Center guidelines. Risks of blood draws and finger sticks include discomfort or possible bruising (hematoma) at the 
site of needle entry. For blood draws, there is also a small risk of fainting or infection at the site of the needle stick. Risks 
from blood draws and finger sticks are minimized by experienced medical personnel who will perform these procedures 
using sterile technique and following universal precautions. 
 
EKG recording 
Subjects may experience some discomfort when electrodes will be removed from the skin, which should resolve quickly. 
 
Rating Scales, Questionnaires and other Behavioral Assessments 
Participants are asked to complete rating scales and questionnaires (paper-and-pencil or computerized) as part of the study. 
Some individuals may feel emotional discomfort answering some of the items on rating scales. Such stress will be managed 
by the study team. If needed, participants have immediate access to licensed health care professionals. 
 
Cue-Reactivity 
Alcohol cue-reactivity experiments are performed on a regular basis at NIAAA. Increased craving and distress may appear 
during the CR procedure. Staff members will monitor the participant via closed circuit monitor/video cameras installed in 
the ‘bar-like’ room and the participant will always be able to communicate with staff members. Should clinically significant 
symptoms appear, participants will have immediate access to licensed health care professionals. Additionally, these risks 
are minimized by the inpatient design of this protocol. Of note, alcohol cue reactivity experiments are performed only 
during the cue reactivity procedure, and the study does not include any alcohol administration at any point. 
 
fMRI 
Anxiety about enclosed spaces: some individuals experience claustrophobia when placed inside the magnet bore of the 
scanner. Participants will be warned about this in advance and advised not to participate if they are prone to experiencing 
anxiety in enclosed places. 
Loud noise of scanner: fMRI is a noisy process which could possibly damage a person’s hearing. To prevent this we require 
participants to wear foam earplugs and/or headphones while inside the scanner. 
 
“Virtual Buffet” 
Previous studies conducted at the NHGRI Immersive Virtual Environment Test Unit (IVETU) located at the NIH Clinical Center 
show the safety of this experimental procedure. In the virtual environment encounters previously conducted at NHGRI, 
there were no incidences of serious cybersickness. Some individuals may experience mild symptoms of motion sickness 
(also called cybersickness in this context). These symptoms may include mild dizziness, headache, eyestrain, blurred vision, 
light sensitivity, and/or nausea. Such symptoms are rarely strong and we will discontinue the virtual session should 
participants report onset of these symptoms. We will continue the virtual session only if the participant desires, all 
symptoms have subsided, and a clinician approved the continuation of the experiment. Participants will be screened so as 

38 
to exclude individuals with conditions or history that would make them particularly susceptible to cybersickness. 
Furthermore, they will be instructed and reminded to report any symptoms during the encounter. 
  
Motivational Interviewing with Video Feedback 
Motivational interviewing video feedback may be tedious, embarrassing or may provoke anxiety or craving.  Study clinicians 
will be with patient at all times and relaxation techniques will be used if patients experience symptoms.  
f. Wearable Sensors 
Bed Sleep Sensor: The bed motion sensor device is a low-power electromagnetic sensor, which uses radio waves for 
detection operating at similar frequency as Wi-Fi.  The power of the device is 1 milliwatt, which is approximately 1000 times 
lower than the power emitted by a mobile phone, and does not pose any health risk for the participant. 
Thermal Camera: The thermal camera does not pose any physical risks to the study participants. Some study participants 
may have some psychological concerns about the thermal image. To help address these concerns, we will point out to the 
participants several important points:  The thermal image only measures the temperature at the surface of the skin.  It does 
not see anything under the skin. Participants shall be shown a sample thermal image and can see that many of the facial 
features are not recognizable.  For the iPad tablet that is mounted on the wall, the participants can also be shown their own 
live thermal image, so they will see what the image looks like and they will feel comfortable using the device. 
 
Risk of compensation for tasks 
Although we expect that this will be rare, it is possible that being compensated will cause an inpatient participant with 
alcohol dependence to desire to purchase alcohol to such an extent that they will leave the hospital against medical advice. 
In order to decrease the risk of this, AUD inpatients will not be paid in cash on the day of testing, but will receive payment 
after discharge using the RVS system through the NIH/CC. 
 
Additional Considerations 
The PI, Dr. Leggio, is also the holder for the currently active FDA IND # 119,365 (with cross-reference Pfizer IND # 110,476) 
obtained for the previous protocol that tested this medication (14-AA-0042). 
L. Plan for reporting unanticipated problems and adverse events 
Adverse events, protocol deviations, unanticipated problems (UP), Unanticipated Adverse Device Effects (UADEs), serious 
adverse events are defined as described in NIH HRPP Policy 801-Reporting Research Events. The NIH Principal Investigators 
(PIs)/designee and, as applicable, non-NIH Investigators must report events to the IRB via the Reportable Event Submission 
Form (REF) in NIH iRIS. All adverse events, deviations, and unanticipated problems will be summarized and reported at the 
time of Continuing Review in accordance with this policy.  

39 
M. Data Safety and Monitoring Plan 
 
The DSMP is consistent with the NIH SOP 17.4. Specifically: 
 
1. Monitoring mechanism: this study is monitored by the NIDA/NIAAA Addictions DSMB 
 
2. Frequency of the monitoring:  Initial DSMB review takes place before the study begins. Subsequent DSMB 
reviews take place after each 10 patients who have been exposed to study drug, unless otherwise 
recommended by the DSMB during the interim monitoring reviews 
3. Stop or change rules:  The following rules are followed: 
3a. Criteria for individual subject withdrawal: 
• 
A Serious Adverse Event (SAE) that is judged by the Investigators as being related to the study drug; 
• 
At the discretion of the PI and/or MAI and/or other health care provider involved in the study based on 
adverse event (AE) severity, or self-reported symptoms and/or observed changes in patient’s well-being 
as reported by health care providers including clinically significant changes in vital signs, weight/BMI, 
blood/urine laboratory values, etc. 
• 
QTc prolongation on EKG calculated by the Fridericia formula, i.e.: if QTc > 500 ms or if QTc increases 
compared to baseline by >60ms.  This criteria is consistent with those outlined by Pfizer and in 2017 
FDA guidance: “E14 Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for 
Non-Antiarrhythmic Drugs — Questions and Answers (R3) Guidance for Industry”  
• 
Non-compliance with protocol procedures or investigator request(s); 
• 
Patient request 
• 
3b. Criteria for stopping the study or suspending enrollment or procedures: The study will be stopped if 
there are four SAEs determined to be related to the study drug (regardless of how many subjects 
experienced them), or one unexpected SAE that is determined to be related to the study drug. 
 
4. Advanced plans for any interim analyses and/or futility analyses. There are no current plans for interim analyses 
and/or futility analyses 
 
5. Information to be monitored. Progress of the study, including assessment of participant recruitment and accrual 
and adverse events are reviewed to determine whether there is any change to the risk:benefit ratio of the 
study. Specific parameters that are monitored include: 
• 
Adverse Events 
• 
Weight 
• 
Vital signs 
• 
Blood tests: glucose (finger stick), serum electrolytes, AST, ALT, GGT, bilirubin, Creatinine 
• 
EKG 
 
6. Communication. The information to be monitored referenced above is reported to the DSMB at the time of the 
DSMB, to the Clinical Director (via PTMS) and IRB at the time of continuing review, and to the FDA at the time of 
annual report. Adverse events are recorded and reported to the Clinical Director, the NIH IRB, the Addictions 
DSMB, and the FDA in accordance with all NIH requirements for adverse event reporting 
 
N. Clinical Monitoring Plan 
Quality assurance (QA) will be performed by the Investigators, as well as by a QA monitor, which according to established 
practice is considered sufficient for small, single-site trials, like the present project. The QA monitor for this study will have 
considerable expertise in clinical trials and will monitor the study binders on a regular basis and consistent with recruitment 
pace.  Additionally, quality assurance will be monitored independently by the NIMH/NIAAA/NIDA Combined Monitoring 
Plan, Intramural Research Program Auditing Committee (IRPAC) Coordinated by the Offices of the Clinical Director at NIMH, 
NIAAA and NIDA. The NIMH/NIAAA/NIDA Combined Monitoring Plan, Intramural Research Program Auditing Committee 

40 
(IRPAC) monitors intramural research studies to ensure compliance with GCP, organizational policies and applicable federal, 
state and local laws and the reliability of study data.    
 
O. Compensation 
Participants will be compensated for time and research-related inconveniences, to the extent to which they complete them, 
as follows: 
 
Procedure 
Compensation 
Stage 1  
Virtual Buffet…………………………………………………………………………….. 
Cue-Reactivity……………………………………………………………………………. 
Completion of all in-patient assessments (for which eligible) in Stage I  
Total Stage I ………………………………………………………………………………    
 
$100.00 
$160.00 
 
$100.00 
$ 360.00 
 
Stage 2 
Virtual Buffet…………………………………………………………………………….. 
Cue-Reactivity……………………………………………………………………………. 
Completion of all in-patient assessments (for which eligible) in Stage II 
Total Stage II ………………………………………………………………………………    
 
$100.00 
$160.00 
 
$100.00 
 
$ 360.00 
 
OPTIONAL PARTICIPATION – ADDITIONAL REMUNERATION 
 
Follow-up Visits (motivational interviewing sessions with video 
feedback and supportive counseling) ($10/each) 
$80 
Stage 1 fMRI 
$150 
Stage 2 fMRI 
$150 
 
Incentive for completing all inpatient parts of the study 
 
                                 $220 
Possible TOTAL COMPENSATION 
                              $1320 
 
 
 
 
Compensation will be prorated for parts completed if subjects do not complete the study. If a subject is asked to repeat a 
procedure, the repeated procedure will be compensated having gained PI (or designee) approval and according to the 
guidelines established by the NIDA/NIAAA Division of Intramural Research Remuneration of Research Participants Policy. If 

41 
needed, subjects will be provided with a taxi paid for by NIH. 

42 
 
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51 
 
Q. Appendices  
 
Appendix 1 - Inclusion/exclusion criteria checklist: 
Inclusion criteria 
 
YES         NO 
 
 ___        ___     Male or female individuals 18-70 years old (inclusive) 
 
___        ___     Current Alcohol Use Disorder by DSM-5 criteria 
 
 
___        ___     Most recent urine drug test for illegal drugs of abuse is negative 
 
___        ___     Most recent Clinical Institute Withdrawal Assessment for Alcohol-revised (CIWA-Ar) score ≤ 8 
 
___        ___     Heart rate ≤ 100 on two separate measurements, both assessed after CIWA-Ar score is ≤ 8 
 
___        ___     Female subjects must be of non-childbearing potential as defined by at least one of the   
                          Following criteria; 
a) Females 45 – 70 years old, who are menopausal, defined as follow: 
i) Females who are between 45 – 55 years old: they will be considered menopausal if they satisfy all the 
following three requirements during screening:  1) they are in amenorrhea, defined as absence of 
menstruation for the previous 12 months; 2) they have a negative urine pregnancy test; and 3) they 
have a serum FSH level within the laboratory’s reference range for postmenopausal females. 
ii) Females who are between 56 – 70 years old: they will be considered menopausal if they are in 
amenorrhea, defined as absence of menstruation for the previous 12 months before screening. 
 
OR 
 
b) Females 21-70 years old, who have a documented hysterectomy and/or bilateral oophorectomy. 
 
All other female subjects (including females with tubal ligations and females that do NOT have a 
documented hysterectomy) will be considered to be of childbearing potential. 
 
___        ___     Male subjects must use one of the following methods of contraception:       
              
        a.   Abstinence. 
 
b. A condom AND one of the following: 
 Vasectomy for more than 6 months.  
 Female partner who meets one of the following conditions: 
1. Has had a tubal ligation, hysterectomy, or bilateral oophorectomy;  
2. Is post-menopausal;  
3. Uses one of the following forms of contraception: 

52 
• 
Copper or hormonal containing IUD; 
• 
Spermicidal foam/gel/film/cream/suppository; 
• 
Diaphragm with spermicide; 
• 
Oral contraceptive; 
• 
Injectable progesterone; 
• 
Subdermal implant. 
 
Exclusion criteria 
YES         NO 
 
___        ___     Lifetime clinical diagnosis of schizophrenia or bipolar disorder 
 
___        ___     EKG with QTc > 450 msec as determined by the Fridericia formula. 
___        ___     BMI <18.5 kg/m2 or anorexia 
  
___        ___     BMI ≥ 40 kg/m2 
 
___        ___     History of epilepsy and/or seizures 
NOTE: individuals who have a history of alcohol withdrawal seizures may be in the study as long as they have 
been abstinent from alcohol for at least 2 weeks prior to consent and during that period of abstinence, there 
were no seizure episodes (otherwise, participant remains not eligible). 
 
___        ___     Most recent blood tests show creatinine ≥ 2 mg/dL, AST or ALT > 3x the upper normal limit,   
                          hemoglobin <10.5 g/dl 
 
___        ___     Subjects who have diabetes and/or are treated with any drug with glucose lowering properties  
such as sulfonylurea, insulin, metformin, thiazolidinediones (TZD), Dipeptidyl peptidase-4 (DPP4) inhibitors, 
or Glucagon-like peptide-1(GLP-1)agonists (due to the glucose-lowering properties of PF-05190457 observed 
in healthy volunteers)                         
                
___        ___     Exclusionary Medications: 
 
A. 
Naltrexone, acamprosate, alcohol dehydrogenase inhibitors, topiramate, gabapentin, ondansetron, 
benzodiazepines, , and alpha-1 blockers, baclofen, , drugs that are known to prolong the QTc interval and 
barbiturates as well as hormone replacement therapy; medications and dietary/herbal supplements (like St. 
John's wort) that  interact with Cytochrome P450 3A4.  Patients who take these medications may be enrolled in 
the study only if the potentially interacting medication has been stopped for a period of at least 5 half-lives of 
the interacting medication before PF-05190457 administration.  
 
B. 
 
           
 
___        ___     Unable to pass a finger rub hearing test 
 
___        ___     Vision is unable to be corrected to (Snellen) 20/100 
 
___        ___     Clinically-significant history of motion or car sickness, or history of vestibular disorders  
 
___        ___     Any other reason or clinical condition for which the PI or the MAI will consider unsafe for a possible 
           participant to participate in this study 

53 
 
fMRI Exclusion Criteria 
 
___        ___     Have contraindications for brain fMRI, as determined by the NIAAA MRI Safety screening form  
 
___        ___     Colorblindness (this would prevent subject from completing the Stroop task) using the Ishihara Test for Color 
Deficiency, Concise Edition, 2014. 
 
 
FINAL DETERMINATION 
 
□ NOT ELIGIBILE 
 
□ ELIGIBLE BUT WITHOUT fMRI 
 
□ ELIGIBLE INCLUDING fMRI 
 
 
Eligibility checklist verification: 
 
 
Signature 
 
 
 
 
Role       
 
 
Date 
 
 
 
1. ______________________________ 
    
___________________ 
 
__________________ 
 
 
2. ______________________________ 
    
___________________ 
 
__________________ 
 
 
3. ______________________________ 
    
___________________ 
 
__________________                                                

54 
  
Appendix 2 – Table Outline for the Inpatient Phase 
 
Stage 1 
Washout 
Stage 2 
 
D1 
D2 
D3 
D4 
D5 
D6 
D7 
D8+ 
D9 
D10+ D11-17+ 
(D1-8) 
Inpatient 1SE 
X 
Task Training 
X 
X 
 
 
 
X 
 
 
 
 
 
Vitals, weight, 
BrAC 
X 
X 
X 
X 
X 
X 
X 
# 
X 
 
 
 
Blood PK/PD 
X 
X 
X 
X 
X** 
X** 
X** 
# 
X 
 
 
 
Blood Clinical 
X 
 
 
 
 
 
# 
 
 
 
 
Blood Research 
X 
X 
X 
X 
X** 
X** 
X** 
# 
X 
 
 
 
AUQ 
X 
 
 
 
X** 
X** 
X** 
# 
 
 
 
 
GFCQ-T 
X 
 
 
 
 
 
 
 
 
 
 
GFCQ-S 
X 
 
 
 
X** 
X** 
X** 
# 
 
 
 
 
POMS 
X 
 
 
 
X** 
X** 
X** 
# 
 
 
 
 
SHAPS 
X 
 
 
 
 
 
 
X 
 
 
 
Subject Characterizations (done once before study drug administration D1 only) 
BASDA 
X 
 
 
 
 
 
 
 
 
 
 
BAS/BIS 
X 
 
 
 
 
 
 
 
 
 
 
FTND 
X 
 
 
 
 
 
 
 
 
 
 
Sweet 
Preference 
X 
 
 
 
 
 
 
 
 
 
 
IAT 
X 
 
 
 
 
 
 
 
 
 
 
IVETU 
Questionnaires▲ 
X 
 
 
 
 
 
 
 
 
 
 
 
Cigs per day 
X 
X 
X 
X 
X 
X 
X 
X 
 
 
 
Smoking Topog.  
 
X 
 
X 
 
X 
 
 
 
 
Study Drug BID X 
X 
X 
X 
X 
X 
X 
X 
 
 
 
Adverse Events 
X 
X 
X 
X 
X 
X 
X 
X 
 
 
 
Stanford SS 
 
 
X 
 
X 
 
X 
 
 
 
 
EKG 
X 
 
 
 
 
 
# 
 
 
 
 
FS glucose 
 
 
X 
 
X 
 
X 
 
 
 
 
Waist 
circumference 
X 
 
 
 
 
 
# 
 
 
 
 
*IVETU 
 
 
 
 
X^ 
 
 
 
 
 
 
*fMRI 
 
 
 
 
 
X 
 
 
 
 
 
*Cue Reactivity 
 
 
 
 
 
 
X 
 
 
 
 
Study drug 
check 
 
 
 
 
 
 
# 
 
 
 
 

55 
 
All times and scheduling is approximate and may be modified to allow for scheduling and time constraints.  
*order of these tasks is flexible to allow for scheduling with the exception of the Cue Reactivity which will be 
done last. 
** Research bloods and PK/PD bloods done twice on these days.  
#these assessments will be performed the day after Cue Reactivity 
 
Blood PK/PD and Blood Research:  Genetics, feeding, stress, hormones of interest, inflammatory markers, GH, 
Insulin 
 
Blood Clinical:  serum electrolytes, AST, ALT, GGT, bilirubin, Creatinine 
 
 
▲IVETU Questionnaires: 
Perceived Family History: weight and alcohol problems 
Implicit Theories of Weight, Alcohol Use and Eating  
Causal Beliefs Scale for Alcohol Dependence and Casual Beliefs Scale for Body Weight 
Perceptions of Personal Control and Treatment Control   
Self-Stigma and Alcohol Dependence  
Perceptions of passing down propensity for disease   
 
^Including Post-IVETU Questionnaires: 
Thoughts about the Buffet Scenario 
Environmental Presence 
Post-IVETU Symptom Checklist 
Real-world Food Behavior 

56 
Appendix 3 – Ability to Consent Evaluation 
 
 NIDA/NIAAA Evaluation of Potential Research Participants’ Ability to Consent 
                                       
Subject Randomization number__________________ 
 
 Protocol #:  16-AA-0080 
 
For each question, circle the score that most closely reflects your evaluation. 
You may explain or rephrase questions to help the potential participant understand them. 
Individuals who do not pass the first time may be re-evaluated once 
 
 
 
 
 
1 What is the purpose of the study? 
 
[must understand that goal of the study and must understand that the study drug is not approved to 
treat alcoholism] 
0 = no or insufficient 
understanding 
 
1 = sufficient understanding 
2 What will you be asked to do if you enroll? 
  
 
 
 
[must understand primary procedures, e.g., alcohol cues, MRI and IVETU] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
3 What are the most significant risks to you of being in the study? 
 
[must recognize the most significant risks, e.g., drowsiness, increased heart rate, lowered glucose 
levels and risks related to MRI and IVETU] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
4 What happens if you decide you do not want to be in the study? 
 
[must understand that can decline without penalty] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
5 What are the chances that being in the study will benefit you 
personally? 
 
[must understand potential benefits, including the possibility that will not benefit personally] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
6 If you enroll, can you later change your mind and stop participating? 
 
[must understand that can stop participating at any time] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
7 What would you do if you experience pain or distress while in the 
study? 
 
[must be willing to tell team] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
8 What things could you do (for your condition) besides  
 
being in the study? 
 
[must recognize available alternatives, including, for example, approved medications for alcoholism] 
0 = no or insufficient understanding 
 
1 = sufficient understanding 
I hereby certify that the potential participant has the ability to consent and scored 1 on all questions.  
 
 
 
 
 
 
 
 
_________________________________ (Evaluator Signature)      _____ / _____ /_____ (Date) 
 

57 
Appendix 4 – “Virtual Buffet” at the NHGRI Immersive Virtual Environment Test Unit (IVETU) 
a) 
Examples of screenshots of “virtual buffet”: 
 
 
b) 
Post-experiment questionnaires: 
1. Thoughts about the Buffet Scenario 
The next questions relate to your thoughts and feedback regarding the virtual buffet scenario.  
Please choose the most appropriate number to indicate how you feel: 
 
Not at all 
 
 
 
 
 
Completely 
1. How much did you like the virtual buffet overall? 
 
1 
2 
3 
4 
5 
6 
7 
2. How realistic did you feel the buffet scenario was? 
 
1 
2 
3 
4 
5 
6 
7 
3. How difficult was it to use the pointing device to 
choose foods from the buffet? 
1 
2 
3 
4 
5 
6 
7 
4. Was the food that ended up on your plate the 
amount you intended to select? 
1 
2 
3 
4 
5 
6 
7 
5. Was the food on the buffet the same kind of food 
you typically eat?  
1 
2 
3 
4 
5 
6 
7 
6. How likely would you be to eat the meal you chose 
in the virtual buffet if it were real food? 
 
 
 
 
 
 
 
7. How representative is the meal you chose, in 
terms of the types of food on the plate, in 
comparison to what you would normally choose at 
a buffet restaurant? 
 
 
 
 
 
 
 
8. If you were given a meal of real food and drink 
that was exactly the same as what you chose in 
the virtual buffet (same foods and drink), how 
likely would you be to eat that meal?  
 
 
 
 
 
 
 
 
9. Did you feel that there were enough foods on the 
buffet that you like to eat? 
 
 
 
 
 
 
 
10. How satisfied do you think you would be by the 
meal that you prepared in the virtual buffet? 
 
 
 
 
 
 
 
 
These next questions relate to your thoughts about how realistic the portion sizes were. Please think about the portions that 
you were able to end up with on your plate: 

58 
 
Portions 
too small 
 
Portions 
just right 
 
Portions 
too big 
11. How realistic were the food portions that you 
were able to choose?   
1 
2 
3 
4 
5 
12. How realistic were the drink sizes that you 
were able to choose?  
1 
2 
3 
4 
5 
 
 
None 
 
Some of it 
 
All of it 
13. How much of the meal do you think you would 
have eaten? 
1 
2 
3 
4 
5 
14. Did you run out of room on your plate when 
selecting food?  
Yes 
No 
 
 
2. Environmental Presence 
The next questions relate to your experience in the virtual world. Please read each question. Choose the answer that best 
reflects your feelings: 
 
Not at 
all 
Slightly 
Moderately 
Very 
much  
Extremely 
1. To what extent were you involved 
in the virtual world? 
1 
2 
3 
4 
5 
2. To what extent did you feel like you 
were inside the virtual world? 
1 
2 
3 
4 
5 
3. To what extent did you feel 
surrounded by the virtual world? 
1 
2 
3 
4 
5 
4. To what extent did it feel like you 
visited another place? 
1 
2 
3 
4 
5 
5. How much did the virtual world 
seem like the real world? 
1 
2 
3 
4 
5 
 
 
 

59 
 
3. Post-IVETU Symptoms Checklist (Nichols et al., 1997; Bouhlal et al., 2015)   
To what degree did you experience each of the following symptoms when you were in the virtual environment? Please use 
the following scale to indicate your experience. 
 
None 
Slight 
Moderate 
Severe 
1. Headache 
0 
1 
2 
3 
2. Blurred vision 
0 
1 
2 
3 
3. Dizzy (eyes open) 
0 
1 
2 
3 
4. Dizzy (eyes closed) 
0 
1 
2 
3 
5. Nausea 
0 
1 
2 
3 
 
 
4. Real-World Food Behavior  
The following questions relate to your opinions and perceptions of the food you eat on a regular basis.  
 
 
Very below 
average 
 
 
Average 
 
 
Very above 
average 
1. Do you consider the amount of food you 
eat each day to be:  
 
1 
2 
3 
4 
5 
6 
7 
2. Do you consider the number of calories 
you eat each day to be:  
 
1 
2 
3 
4 
5 
6 
7 
 
Below is a list of the different foods and drinks you encountered in the virtual world. Please indicate how likely it is that you 
would select each of the following foods in real life, given that you could  also choose any other sort of food you would 
normally eat or would like to eat during a lunch meal.  
 
Extremely 
unlikely 
1 
Unlikely 
2 
 
Somewhat 
unlikely 
3 
Neither 
Likely nor 
Unlikely 
4 
Somewhat 
likely 
5 
Likely 
6 
Extremely 
likely 
7 
Brownies 
 
 
 
 
 
 
 
Steamed 
Carrots 
 
 
 
 
 
 
 
Cheese Pizza 
bites 
 
 
 
 
 
 
 
Grilled 
Chicken 
 
 
 
 
 
 
 
Corn 
 
 
 
 
 
 
 
French fries 
 
 
 
 
 
 
 

60 
Grapes 
 
 
 
 
 
 
 
Strawberry 
Yogurt 
 
 
 
 
 
 
 
Green Beans 
 
 
 
 
 
 
 
Macaroni and 
Cheese 
 
 
 
 
 
 
 
Applesauce 
 
 
 
 
 
 
 
Chicken 
Nuggets 
 
 
 
 
 
 
 
Orange Slices 
 
 
 
 
 
 
 
Mini  
cheeseburger 
sliders 
 
 
 
 
 
 
 
White rice 
 
 
 
 
 
 
 
Cookies 
 
 
 
 
 
 
 
 
 
1. What aspects of the virtual buffet experience did you like the most?  
_____________________________________________________________________________________________________
_____________________________________________________________________________________________________
_________________________________________________________________ 
 
2. What aspects of the virtual buffet experience did you like the least?  
_____________________________________________________________________________________________________
_____________________________________________________________________________________________________
_________________________________________________________________ 

61 
Appendix 5: Motivational Interviewing Questionnaires 
  
 

62 
 

63 
Situational Motivation Scale (SIMS) 
Why are you currently engaged in this activity? 
1. Because I think that this activity is interesting 1 2 3 4 5 6 7 
2. Because I am doing it for my own good 1 2 3 4 5 6 7 
3. Because I am supposed to do it 1 2 3 4 5 6 7 
4. There may be good reasons to do this activity, but personally 
I don’t see any 1 2 3 4 5 6 7 
5. Because I think that this activity is pleasant 1 2 3 4 5 6 7 
6. Because I think that this activity is good for me 1 2 3 4 5 6 7 
7. Because it is something that I have to do 1 2 3 4 5 6 7 
8. I do this activity but I am not sure if it is worth it 1 2 3 4 5 6 7 
9. Because this activity is fun 1 2 3 4 5 6 7 
10. By personal decision 1 2 3 4 5 6 7 
11. Because I don’t have any choice 1 2 3 4 5 6 7 
11. Because I don’t have any choice   1 2 3 4 5 6 7 
12. I don’t know; I don’t see what this activity brings me 1 2 3 4 5 6 7 
13. Because I feel good when doing this activity   1 2 3 4 5 6 7 
14. Because I believe that this activity is important for me   1 2 3 4 5 6 7 
15. Because I feel that I have to do it   1 2 3 4 5 6 7 
16. I do this activity, but I am not sure it is a good thing to pursue it   1 2 3 4 5 6 7 
 
 
 
 
 

64 
Beck Cognitive Insight Scale (modified) 
 
Do not agree  
at all 
Agree slightly 
Agree a lot 
Agree completely 
(1) At times, I have 
misunderstood other 
people's attitudes 
towards me. 
 
 
 
 
(2) My 
interpretations of my 
experiences are 
definitely right. 
 
 
 
 
(3) Other people can 
understand the cause 
of my drinking better 
than I can. 
 
 
 
 
(4) I have jumped to 
conclusions too fast. 
 
 
 
 
5) Some of my 
experiences that 
have seemed very 
real may have been 
due to my 
imagination. 
 
 
 
 
(6) Some of the ideas 
I was certain were 
true turned out to be 
false. 
 
 
 
 
(7) If something feels 
right, it means that it 
is right. 
 
 
 
 
(8) Even though I feel 
strongly that I am 
right, I could be 
wrong. 
 
 
 
 
(9) I know better than 
anyone else what my 
problems are. 
 
 
 
 
(10) When people 
disagree with me, 
they are generally 
 
 
 
 

65 
wrong. 
(11) I cannot trust 
other people's 
opinion about my 
drinking 
 
 
 
 
(12) If somebody 
points out that my 
beliefs are wrong, I 
am willing to consider 
it. 
 
 
 
 
(13) I can trust my 
own judgment at all 
times. 
 
 
 
 
(14) There is often 
more than one 
possible explanation 
for why people act 
the way they do. 
 
 
 
 
(15) My drinking  may 
be due to my being 
extremely upset or 
stressed. 
 
 
 
 
 
 
 
 
 
 

66 
 
Hanil Alcohol Insight Scale (HAIS) 
1. I find many problems in my drinking.  
2. I can control drinking any time if I want to.  
3. All my problems can be solved only when I quit drinking.  
4. My drinking did no harm to any member of the family.  
5. I have been hospitalized because of too much drinking.  
6. I feel upset when people view me as a problem drinker.  
7. I am an alcoholic!  
8. I can't do without drinking.  
9. I am really sorry for the suffering I have caused others by my drinking.  
10. I hate the person who put me in a hospital.  
11. I find no problems in my drinking.  
12. I am unable to stop drinking once I start.  
13. I just need some moderation rather than being kept from drinking.  
14. Many people around me suffered from my drinking.  
15. Drinking itself shouldn't justify my hospitalization.  
16. Drinking has deprived me of important things.  
17. It's nonsense for them to call me an alcoholic.  
18. Sober living is the only way to save my life from ruin. 
19. I hate all the people and surroundings that have made me fall into drinking.  
20. I was fortunate to have a chance to be hospitalized. 
 
 
 
 
 
 

67 
Appendix 6 – Advertisement Material 
Print Ad for Newspapers: 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
The Ad above and its text can also be used for: 1) a tear-sheet flyer, where tear-sheets include NIH protocol 
#, email and phone number; 2) NIH Listserv and other Listserv (e.g. Craigslist); and 3) advertisement 
newsletters and websites 
 
 
 
 
DO YOU DRINK A LOT OF ALCHOL? 
 
We are conducting a study testing an experimental drug 
that might reduce craving for alcohol  
We are looking for volunteers who drink a lot of alcohol 
and are: 
• 
Between the ages of 18 and 70 
• 
Without significant medical or drug problems  
• 
Willing to stay at the NIH Clinical Center  
• 
May want help for your drinking problem 
 
 
For more details, 
Email [insert email here]  
Or call XXX-XXX-XXXX 
 

68 
AD for NIAAA and other NIH Recruiting Website 
 
Join a Research Study: Alcohol Use Disorder 
 
An experimental drug that might reduce craving for alcohol  
The main purpose of this research study is to test whether a drug reduces craving for alcohol. 
 
Research participation includes two - 14 day inpatient visits. You will be asked to take the study drug or placebo by mouth twice a 
day; taste several sweet solutions; have physical exams and vital signs taken; be exposed to alcohol, water, and food cues in a 
room that looks like a bar; answer questions on a computer; participate in virtual reality tasks; and have brain scans completed.   
 
After the inpatient stays, optional outpatient follow up visits in our clinic in Bethesda, MD will be offered.  These will include 
counseling to help abstain from alcohol use as well as follow up physical exams. 
 
Who may participate: right-handed adults ages 18-70 who have alcohol use disorder and are otherwise physically healthy.  
 
You may not be eligible if you are pregnant, have metal in your body, have had serious head injuries, or have serious physical or 
neurological diseases. 
 
The study is conducted at the NIH Clinical Center in Bethesda, MD. Compensation is provided for participation. 
 
 
To find out if you qualify email [insert email here] or call xxx-xxx-xxxx 
 
Protocol Number: 16-AA-0080 
Principal Investigator: Lorenzo Leggio, MD, PhD, MSc 
 
 
Ads for Social Media 
 
 
• Clinical Center Facebook (links to study-specific webpage on the OPR recruitment website, 
https://go.usa.gov/xQjhb 
Researchers want to test a drug to learn if it helps reduce cravings for alcohol. Are you a right-handed adult age 18-
70 who have alcohol use disorder and are otherwise physically healthy?  
Learn more at: clinicaltrials.gov and search by study 16-AA-0080. Contact us at: [insert email here] 
 
• Clinical Center Twitter  
Volunteers wanted for Research Study on Alcohol Use Disorder looking at reducing craving for alcohol. Learn 
more at  https://go.usa.gov/xQjhbLearn more at clinicaltrials.gov and search by study 16-AA-0080 or learn more 
at  https://go.usa.gov/xQjhb 
 
 
• CC News/NIH Record 
NIAAA is seeking right-handed adults ages 18-70 who have alcohol use disorder and are otherwise healthy.  

69 
Compensation provided. More information: Office of Patient Recruitment 1-866-444-2214, (Email: [insert email 
here]. Read about the study at clinicaltrials.gov (search by study 16-AA-0080) or learn more at  
https://go.usa.gov/xQjhb 
 
• OPR LISTSERV (“Volunteers” List of those interested in receiving updated protocol information via 
email. Links to this study on OPR recruitment website) 
“A research study to learn more about testing a drug to learn if it helps reduce craving for alcohol”. 
A research team at the National Institutes of Health (NIH) in Bethesda, Maryland is looking for, right-
handed adults ages 18-70 who have alcohol use disorder and are otherwise healthy to participate in a study. 
   
Study highlights: 
• An experimental drug that might reduce craving for alcohol 
• The main purpose of this research study is to test whether a drug reduces craving for alcohol. 
• Research participation includes two - 14 day inpatient visits. You will be asked to take the study drug or 
placebo by mouth twice a day; taste several sweet solutions; have physical exams and vital signs taken; be 
exposed to alcohol, water, and food cues in a room that looks like a bar; answer questions on a computer; 
participate in virtual reality tasks; and have brain scans completed.   
• After the inpatient stays, optional outpatient follow up visits in our clinic in Bethesda, MD will be offered.  
These will include counseling to help abstain from alcohol use as well as follow up physical exams. 
• Who may participate: right-handed adults ages 18-70 who have alcohol use disorder and are otherwise 
physically healthy.  
• You may not be eligible if you are pregnant, have metal in your body, have had serious head injuries, or have 
serious physical or neurological diseases. 
• The study is conducted at the NIH Clinical Center in Bethesda, MD. Compensation is provided for 
participation. 
• 
The NIH Clinical Center, America’s research hospital, is located in Bethesda, Maryland,  
on the Metro red line (Medical Center stop). 
 
For more information, call: 
Office of Patient Recruitment 
1-866-444-1132 
Email: [insert email here] 
Online: clinicaltrials.gov and search by study 16-AA-0080 or Learn more at  https://go.usa.gov/xQjhb 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

70 
Recruitment Ads 
Facebook, Twitter, OPR and NIH Listservs,  
Craigslist, ResearchMatch, CC News/NIH Record 
DRAFT DATE: 4/23/2018 
IRB APPROVED:  
 
Social Media (Pictures will be used interchangeably and found at the end of this document) 
 
Hashtags: #AlcoholAwarenessMonth (April) #alcohol  
 
Organization/Association tags: @NIHClinicalCntr @samhsagov @NIAAAnews 
 
Facebook Posts: (Each time posted to Facebook, hashtag a different condition listed in hashtags and tag one 
of the listed associations) 
 
      AUD non-treatment seeking 
 
Are you a heavy alcohol drinker? Consider participating in a research study at the NIH Clinical Center. NIAAA 
researchers are investigating an experimental medication that might reduce alcohol craving. There is an 
inpatient stay for approximately 3-4 weeks. Compensation is provided. For more information, call the NIH 
Clinical Center Office of Patient Recruitment at 1-800-411-1222. Refer to study 16-AA-0080. 
https://go.usa.gov/xQjhb 
 
Researchers at the NIH Clinical Center seek individuals who drink alcohol for a research study. This study 
is investigating an experimental medication that might reduce alcohol craving. There is an inpatient stay for 
approximately 3-4 weeks. Compensation is provided. For more information, call the NIH Clinical Center 
Office of Patient Recruitment at 1-800-411-1222. Refer to study 16-AA-0080. https://go.usa.gov/xQjhb  
 
AUD treatment seeking 
 
Are you seeking treatment for alcohol use? Consider participating in a research study at the NIH Clinical 
Center. NIAAA researchers are investigating an experimental medication that might reduce alcohol 
craving. There is an inpatient stay for approximately 3-4 weeks. Compensation is provided. For more 
information, call the NIH Clinical Center Office of Patient Recruitment at 1-800-411-1222. Refer to study 
16-AA-0080. https://go.usa.gov/xQjhb 
 
Are you worried about your alcohol use? Consider participating in a research study at the NIH Clinical 
Center. NIAAA researchers are investigating an experimental medication that might reduce alcohol 
craving. There is an inpatient stay for approximately 4 weeks.. Compensation is provided. For more 
information, call the NIH Clinical Center Office of Patient Recruitment at 1-800-411-1222. Refer to study 
16-AA-0080. https://go.usa.gov/xQjhb 
 
Twitter Posts: 
 
      AUD non-treatment seeking 
      Do you drink alcohol heavily @NIHClinicalCntr seek participants for an inpatient  
research study testing a medication to reduce alcohol craving. Compensation provided.  
Call the NIH Office of Patient Recruitment at 1-800-411-1222. Study #16-AA-0080.  
https://go.usa.gov/xQjhb 

71 
 
AUD treatment seeking 
 
Are you Seeking treatment for alcohol use? @NIHClinicalCntr seek participants for an  
inpatient research study testing a medication to reduce alcohol craving. Compensation  
provided. Office of Patient Recruitment at 1-800-411-1222. Study #16-AA-0080.  
https://go.usa.gov/xQjhb 
 
OPR and NIH Listservs (Email list of those interested in receiving study recruitment updates. (Links to specific 
study page on CC Search the Studies, clinicaltrials.gov or OPR recruitment website) 
 
AUD non-treatment seeking 
 
Are you a heavy alcohol drinking individual? Join a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol craving 
and test if a drug that blocks ghrelin lowers the craving for alcohol.  
 
Compensation is provided for participation.  
 
You may be eligible if you: 
• 
You are 18-70-year-old 
• 
Drink alcohol heavily  
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits 
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and exposure to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD.  We are 
on the Metro red line (Medical Center stop). 
 
For more information: 
NIH Clinical Center Office of Patient Recruitment  
1- 866-444-1132 (refer to NIH study 16-AA-0080) 
TTY for the deaf and hard of hearing: 1-866-411-1010  
https://go.usa.gov/xQjhb  
 
AUD treatment seeking 
 
Title Option 1. Are you worried about your drinking? Consider joining a research study…  
Title option 2. Is your drinking affecting your life? Consider joining a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  

72 
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol craving.and test if a drug that blocks ghrelin lowers 
the craving for alcohol.  
 
There is no cost to participate and compensation is provided. 
 
You may be eligible if: 
• 
You are 18-70-year-old 
• 
Are a heavy drinker and may want help for your drinking  
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits  
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD. We are 
on the Metro red line (Medical Center stop). 
 
For more information: 
NIH Clinical Center Office of Patient Recruitment  
1- 866-444-1132 (refer to NIH study 16-AA-0080) 
TTY for the deaf and hard of hearing: 1-866-411-1010  
https://go.usa.gov/xQjhb 
 
Craigslist 
 
AUD non-treatment seeking 
 
 Heading:  
 
Are you a heavy drinker? Join a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol cravingand test if a drug that blocks ghrelin lowers 
the craving for alcohol.  
 
Compensation is provided for participation.  
 
You may be eligible if: 
• 
You are a healthy 18-70-year-old 
• 
Are a heavy drinker 
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits 
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 

73 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD. We are 
on the Metro red line (Medical Center stop). 
 
For more information: 
NIH Clinical Center Office of Patient Recruitment  
1-877-888-4447 (refer to NIH study 16-AA-0080) 
TTY for the deaf and hard of hearing: 1-866-411-1010  
https://go.usa.gov/xQjhb 
 
AUD treatment seeking 
 
 Heading: Are you worried about your drinking? Join a research study…  
  
     Are you looking for alcohol treatment?  
  
     Is your drinking affecting your life?  
 
Are you worried about your drinking? Consider joining a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol cravingand test if a drug that blocks ghrelin lowers 
the craving for alcohol.  
 
There is no cost to participate and compensation is provided. 
 
You may be eligible if: 
• 
You are a healthy 18-70-year-old 
• 
Are a heavy drinker and may want help for your drinking  
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits  
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD.  We are 
on the Metro red line (Medical Center stop). 
 
NIH Clinical Center Office of Patient Recruitment  
1-877-888-4447 (refer to NIH study 16-AA-0080) 
TTY for the deaf and hard of hearing: 1-866-411-1010  
https://go.usa.gov/xQjhb 
 
ResearchMatch (Web links, phone numbers, and contact information are not allowed) 
 
AUD non-treatment seeking 

74 
 
Are you a heavy drinker? Join a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol cravingand test if a drug that blocks ghrelin lowers 
the craving for alcohol.  
 
Compensation is provided for participation.  
 
You may be eligible if: 
• 
You are a healthy 18-70-year-old 
• 
Are a heavy drinker 
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits 
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD.  We are 
on the Metro red line (Medical Center stop). 
 
AUD treatment seeking 
 
Are you worried about your drinking? Consider joining a research study…  
 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a 
research study investigating an experimental medication that might reduce alcohol craving.  
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol 
craving and use. We want to learn more about alcohol cravingand test if a drug that blocks ghrelin lowers 
the craving for alcohol.  
 
There is no cost to participate and compensation is provided. 
 
You may be eligible if: 
• 
You are a healthy 18-70-year-old 
• 
Are a heavy drinker and may want help for your drinking  
 
Participating includes: 
• 
Inpatient stay for approximately 3-4 weeks. Optional outpatient follow up visits  
• 
Taking the study medication or placebo (liquid solution with no active ingredients) by mouth twice a day 
• 
Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to 
alcohol, water, and food cues in a bar simulation 
 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD.  We are 
on the Metro red line (Medical Center stop). 

75 
 
NIH Newsletters (CC News, NIH Record): 
 
Are you a heavy drinker? NIAAA researchers are seeking research volunteers for a study testing a 
medication that may reduce cravings for alcohol. There is an Inpatient stay for approximately 3-4 weeks. 
Compensation is provided. For more information, call the NIH Clinical Center Office of Patient 
Recruitment 1-866-444-2214 (TTY for the deaf or hard of hearing: 1-866-411-1010). 
https://go.usa.gov/xQjhb. Refer to study 16-AA-0080. 
 
Pictures to be used interchangeably for social media, listserv postings and flyers: 
 
 
  
 
;
   
 
 
 
 
 
 
 
 

76 
IS ALCOHOL 
AFFECTING 
YOUR LIFE? 
 
 
 
 
 
 
 
 
 
 
 
Consider joining a research study... 
Researchers at the National Institutes of Health (NIH) are looking for individuals to participate in a research study 
investigating an experimental medication that might reduce alcohol craving. 
 
Ghrelin is a hormone found naturally in the body that stimulates appetite. It may also stimulate alcohol craving and 
use. We want to learn more about alcohol cravingand test if a drug that blocks ghrelin lowers the craving for 
alcohol. 
 
There is no cost to participate and compensation is provided. 
 
You may be eligible if you are: 
• A 18-70 years old 
• A heavy drinker with no contraindication to be in  the study 
 
Participating includes: 
• Approximately 3-4 week inpatient stay 
• Optional outpatient follow up visits 
• Taking the study medication or placebo (a liquid solution with no active ingredients) by mouth twice a day 
• Physical exams, blood tests, brain imaging scans, questionnaires, virtual reality tasks, and be exposed to alcohol, water, 
and food cues in a bar simulation 
The study takes place at the NIH Clinical Center, America’s Research Hospital in Bethesda, MD. We are on the Metro red 
line (Medical Center stop). 
 

77 
FOR MORE INFORMATION, CALL: 
NIH Clinical Center Office of Patient Recruitment 
1- 800- 411-1222 (refer to 16-AA-0080) 
TTY for the deaf and hard of hearing: 1-866-411-1010 
ONLINE: HTTPS://GO.USA.GOV/XQJHB 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

78 
 
Appendix 7:  Characterization Measures 
BIS/BAS 
Each item of this questionnaire is a statement that a person may either agree with or disagree with. For each item, 
indicate how much you agree or disagree with what the item says. Please respond to all the items; do not leave any 
blank. Choose only one response to each statement. Please be as accurate and honest as you can be. Respond to 
each item as if it were the only item. That is, don’t worry about being “consistent” in your responses. Choose from 
the following four response options 
Very true 
for me 
Somewhat 
true for me 
Somewhat false 
for me 
Very false 
for me 
(1) 
(2) 
(3) 
(4) 
  
1.  A person’s family is the most important thing in life. 
 
  
2.  Even if something bad is about to happen to me, I rarely experience fear or nervousness. 
 
  
3.  I go out of my way to get things I want. 
 
  
4.  When I’m doing well at something I love to keep at it. 
 
  
5.  I’m always willing to try something new if I think it will be fun. 
 
  
6.  How I dress is important to me. 
 
  
7.  When I get something I want, I feel excited and energized. 
 
  
8.  Criticism or scolding hurts me quite a bit. 
 
  
9.  When I want something I usually go all-out to get it. 
 
  
10. I will often do things for no other reason than that they might be fun. 
 
  
11. It’s hard for me to find the time to do things such as get a haircut. 
 
  
12. If I see a chance to get something I want I move on it right away. 
 
  
13. I feel pretty worried or upset when I think or know somebody is angry at me. 
 
  
14. When I see an opportunity for something I like I get excited right away. 
 
  
15. I often act on the spur of the moment. 
 
  
16. If I think something unpleasant is going to happen I usually get pretty “worked up.” 
 
  
17. I often wonder why people act the way they do. 
 
  
18. When good things happen to me, it affects me strongly. 
 
  
19. I feel worried when I think I have done poorly at something important. 
 
  
20. I crave excitement and new sensations. 
 
  
21. When I go after something I use a “no holds barred” approach. 
 
  
22. I have very few fears compared to my friends. 
 
  
23. It would excite me to win a contest. 
 
  
24. I worry about making mistakes. 

79 
BASDA – Brief Addictive Behavior Social Density Assessment 
Please provide estimates of these behaviors for the people who are closest to you. In each case, check the appropriate boxes 
or write in your answer. Please answer each question even if you are not sure. Your answer should be your best guess. 
Person #1: 
Your closest non-biologically related individual, including spouses and significant others. 
 
Over the last year, how often does this person have a drink containing alcohol? 
 
 Never        Monthly or Less        2-4 Times/Month        2-3 Times/Week          4 or More Times/Week  
 
Over the last year, how many drinks containing alcohol does this person have on a typical day when he or she is drinking? 
 
 1 to 2                          3 to 4                                5 to 6                               7 to 9                     10 or more 
 
Over the last year, how often does this person have six or more drinks on one occasion? 
 
 Never        Monthly or Less        2-4 Times/Month        2-3 Times/Week          Daily or Almost Daily 
 
Over the last year, how many cigarettes/day does this person typically smoke each day? ____________ 
[If the person smokes weekly, write in the number and “per week”] 
 
Is this person male or female?            Male        Female 
 
Is this person a spouse/significant other or friend?         Spouse/Significant Other        Friend 
 
How confident are you that your estimates about this person are accurate? 
 
 Not Confident        Confident            Highly Confident        
 
The above questions are repeated for the following individuals: 
Person #2: 
Your SECOND closest non-biologically related individual, including spouses and significant others. 
 
 
 Person #3: 
Your THIRD closest non-biologically related individual, including spouses and significant others. 
 
Person #4: 
Your FOURTH closest non-biologically related individual. 
 
Person #5: Your MOTHER. 
 
Person #6: Your FATHER. 
 
 
 
 
 
Person #7: Your SIBLING closest in age. 
 
 
 
Person #7: Your next SIBLING closest in age. 
 
How many additional siblings do you have? ____________ 

80 
 
Perceived Family History 
1. Do alcohol problems run in your family?   
Yes 
No 
I don’t know 
 
2. Do weight problems run in your family?  
Yes 
No 
I don’t know 
 
 
3. Right now, do you consider yourself to be currently:  
Underweight 
About right 
Overweight 
Very 
overweight 
  

81 
Implicit Theories of Weight, Alcohol Use and Eating [Source: Burnette, 2010]  
 
Choose the number that indicates how much you agree with each statement: 
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. You have a certain body weight, and you can’t really do much to change it 
1. Your body weight is something about you that you can’t change very much 
2. No matter who you are, you can significantly change your body weight 
3. To be honest, you can’t really change your body weight 
4. You can always substantially change your body weight 
5. You can change your basic body weight considerably 
 
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. You have a certain amount of alcohol that you drink, and you can’t really do much to change it 
2. The amount of alcohol you drink is something about you that you can’t change very much 
3. No matter who you are, you can significantly change the amount of alcohol you drink 
4. To be honest, you can’t really change the amount of alcohol you drink 
5. You can always substantially change the amount of alcohol you drink 
6. You can change the amount of alcohol you drink considerably 
 
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. You have a certain amount of food you eat, and you can’t really do much to change it 
2. The amount of food you eat is something about you that you can’t change very much 
3. No matter who you are, you can significantly change the amount of food you eat 
4. To be honest, you can’t really change the amount of food you eat 
5. You can always substantially change the amount of food you eat 
6. You can change the amount of food you eat considerably 

82 
Causal Beliefs Scale for Alcohol Dependence [From Link, et al., 1999 and the Revised Illness Perception Questionnaire, 
Moss-Morris et al., 2002]  
 
There are several reasons that people give when asked about what causes someone to have a problem with alcohol. In your 
opinion, how much do you agree or disagree that your alcohol problem might be caused by each of the following:  
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree  
Agree 
Strongly 
agree 
 
1. A chemical imbalance  
2. A person’s own character 
3. The way a person was raised 
4. Personality 
5. Stressful circumstances in a person’s life 
6. A genetic or inherited problem 
7. A lack of willpower 
8. God’s will 
9. Chance or bad luck 
10. A person’s own behavior 
11. A person’s emotional state   
 
 
 
Causal Beliefs Scale for Body Weight  
 
There are several reasons that people give when asked about what causes someone to have a certain body weight. In your 
opinion, how much do you agree or disagree that your body weight might be caused by each of the following:  
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. A chemical imbalance  
2. A person’s own character 
3. The way a person was raised 
4. Personality 
5. Stressful circumstances in a person’s life 
6. A genetic or inherited problem 
7. A lack of willpower 
8. God’s will 
9. Chance or bad luck 
10. A person’s own behavior 
11. A person’s emotional state   

83 
 
Perceptions of Personal control [Source: Illness Perception Questionnaire, Brief, Broadbent et al. 2006] 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
Absolutely no 
control 
 
 
 
 
 
 
 
 
An extreme 
amount of 
control 
1. How much control do you feel you have over your alcohol use?  
2. How much control do you feel you have over your weight?  
3. How much control do you feel you have over your eating behavior?  
 
 
 
Perceptions of Treatment control [source: IPQ Brief, Broadbent et al. 2006] 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
Not at all 
helpful 
 
 
 
 
 
 
 
 
Extremely 
helpful 
1. How much do you think treatment can help your alcohol use?  
 
 
 
Self-Stigma and Alcohol Dependence Scale [Source: Schomerus et al., 2011] 
Please indicate the extent to which you agree or disagree with each of the following statements. There are no right or wrong 
answers.  
 
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. Because I have alcohol problems, I am unreliable.  
2. Because I have alcohol problems, I am emotionally unstable 
3. Because I have alcohol problems, I am violent 
4. Because I have alcohol problems, I am living on other people’s expenses 
5. Because I have alcohol problems, I am self-pitying 
6. Because I have alcohol problems, I am lazy 
7. Because I have alcohol problems, I am resolving conflicts only with alcohol 
8. Because I have alcohol problems, I am weak-willed 
9. Because I have alcohol problems, I am unable to ever get away from alcohol 
10. Because I have alcohol problems, I am unable to keep a regular job 
11. Because I have alcohol problems, I am to blame for others’ problems 
12. Because I have alcohol problems, I am not to be trusted 
13. Because I have alcohol problems, I am disgusting 
14. Because I have alcohol problems, I am dirty and unkept 
15. Because I have alcohol problems, I am below average intelligence 
16. Because I have alcohol problems, I am unpredictable 
 
 
 
Perceptions of Passing Down Propensity for Disease [source: adapted from Persky et al., 2015] 

84 
 
1. Do you have any biological children?  
a. If yes, how many _____ 
b. If yes, what are their ages ______ 
 
2. Do you have any non-biological children (e.g., step-children)?  
a. If yes, how many _____ 
b. If yes, what are their ages ______ 
 
Below are statements that some people have used to describe their feelings. Please read each statement and choose the 
most appropriate number to indicate how you feel about each statement. There are no right or wrong answers. Please give 
the answer which seems to describe your feelings best.  
If you do not have children, please consider how you think you would respond if you did have children.  
1 
2 
3 
4 
5 
6 
7 
Strongly 
disagree 
Disagree 
Somewhat 
disagree 
Neither 
agree nor 
disagree 
Somewhat 
agree 
Agree 
Strongly 
agree 
 
1. Alcohol problems are learned in the family  
Genetics contributes to the development of alcohol problems  
My children are at increased risk for developing alcohol problems because they are, in part, learned in the family 
My children are at increased risk for developing alcohol problems because they are, in part, genetic   
 
I feel guilty about the genetic risk for alcohol problems that I may have passed down to my child 
I feel guilty about the genetic risk for overweight that I may have passed down to my child 
 
I feel guilty about the behavioral risks for alcohol problems that my child may have learned from me 
I feel guilty about the behavioral risks for overweight that my child may have learned from me  
 
 
 
 

85 
Sweet Preference Questionnaire            Date:   
 Timepoint:  
 
 
 
Listed below are questions that ask about your feelings about sweets. Please indicate how much you 
agree or disagree with each of the following statements by placing a single check mark (like this: X) 
along each line between STRONGLY DISAGREE and STRONGLY AGREE. The closer you place 
your check mark to one end or the other indicates the strength of your disagreement or agreement.  
Please complete every item. 
 
 
1. Having something sweet to eat makes me feel less nervous or depressed. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: 
STRONGLY AGREE 
 
2. I can easily control how many sweets I eat. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
3. I often crave something sweet when I’m nervous or depressed 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
4. I would enjoy having something sweet to eat right now. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
5. Having something sweet to eat makes me feel happier. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
6. I often have an urge for something sweet to eat. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
7. I am less irritable if I have something sweet to eat. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
8. I have problems controlling how much sweet food I eat. 

86 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
9. I often feel guilty about how many sweets I eat. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
10. I have tried to cut down on eating sweets. 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
11. I have found that eating sweets reduces my desire to drink alcohol 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
12. I have used eating sweets to control how much alcohol I drink 
STRONGLY DISAGREE: 
: 
: 
: 
: 
: 
: 
: STRONGLY AGREE 
 
 

87 
APPENDIX 8: NIAAA  MRI Safety Questionnaire 
Place Patient Label Here 
 
 
 
 
Date: _____________ 
 
NIAAA MRI SAFETY SCREENING QUESTIONNAIRE 
Please circle each response: 
 
Have you had any MRI scan at NIH within the last 12 months?................................………. 
yes  no 
 
***Some of the following items may be hazardous to your safety and some can interfere with the MRI 
examination. Please select "yes" if you have any of the following or "no" if you do not*** 
 
6. Have you ever worked with metal (grinding, fabrication, etc.) or ever had an injury 
 
to the eye involving a metallic object (e.g., metallic slivers, foreign body)?.…………… 
yes  no 
 
If yes, please describe: ___________________________________________________ 
7. Have you ever had surgery or any similar invasive procedure?........................…….……. 
yes  no 
 
If yes, list all prior surgeries and approximate dates (Use back side if necessary): 
_____________________________________________________________________ 
8. Women:  Are you, or might you be, pregnant?..........................................…………….. . .  
yes  no 
9. Women: Are you currently breast feeding?..................................................................….. 
yes  no 
10. Do you have a history of kidney disease, seizure, diabetes, or any blood diseases 
 
(Anemia or Sickle Cell)?..........................................................................................      yes  no 
11. Do you have any drug or latex allergies?............................................................................ 
yes  no 
 
If yes, please describe: ___________________________________________________ 
12. List your medications (Use back if necessary): _________________________________ 
 
______________________________________________________________________ 
13. Have you ever had a reaction to a contrast medium used for MRI or CT?..…………….. 
yes  no 
14. Do you have claustrophobia (fear of closed places)?...………………………………….. 
yes  no 
15. Do you have any known hearing problems (e.g. ringing, sensitive to loud noise)?............ 
yes  no 
16. Cannot lay on your back comfortably for an extended period of time up to 2 hours?.......... 
yes  no 
 
12. Do you have any of the following: 
 
Cardiac pacemaker…………………… 
yes  no 
Any type of prosthesis (eye, penile)... 
yes  no  
Implanted cardiac defibrillator………. 
yes  no 
Heart valve prosthesis………………. 
yes  no  
Aneurysm clip…..…………………… 
yes  no 
Shunt (spinal/intraventricular)………. 
yes  no  
Neuro or Bone Stimulator…………… 
yes  no 
Wire sutures or surgical staples…….. 
yes  no  
Insulin or infusion Pump…………….. 
yes  no 
Bone/joint pin, screw, nail,  plate…… 
yes  no  
Implanted drug infusion device.…….. 
yes  no 
Body tattoos or makeup (eyeliner/lip) 
yes  no  
Cochlear, otologic, or ear implant…... 
yes  no 
Body piercing(s) (non-removable)….. 
yes  no  
Prostate radiation seeds.…………….. 
yes  no 
Breast tissue expander………………. 
yes  no  
IUD (intrauterine device).…………… 
yes  no 
Any metallic implants or objects……. 
yes  no  
Transdermal medication patch (Nitro) 
yes  no 
 
Patient (legal guardian) signature __________________________________ Date_______________  
Researcher signature _____________________________________________ Date ______________   
If any of the above items (1-12) is answered “yes”, the MRI scan must be verified by a physician 
or a nurse practitioner responsible for the scan. 
Physician signature ____________________________________________  
Date:_____________ 
Scan 
☐ Approved 
☐ Not Approved, Reason: ___________________________________________ 

88 
Appendix 9 
Alcohol Urge Questionnaire (AUQ) 
 
 

89 
Appendix 10:Mindful Attention Awareness Scale 
Day-to-Day Experiences 
Instructions: Below is a collection of statements about your everyday experience. Using the 1-6 scale 
below, please indicate how frequently or infrequently you currently have each experience. Please answer 
according to what really reflects your experience rather than what you think your experience should be. 
Please treat each item separately from every other item. 
1 
Almost 
Always 
2 
Very Frequently 
3 
Somewhat 
Frequently 
4 
Somewhat 
Infrequently 
5 
Very 
Infrequently 
6 
Almost 
Never 
 
I could be experiencing some emotion and not be conscious of it until 
some time later. 
1 
2 
3 
4 
5 
6 
I break or spill things because of carelessness, not paying attention, or 
thinking of something else. 
1 
2 
3 
4 
5 
6 
I find it difficult to stay focused on what’s happening in the present. 
1 
2 
3 
4 
5 
6 
I tend to walk quickly to get where I’m going without paying attention 
to what I experience along the way. 
1 
2 
3 
4 
5 
6 
I tend not to notice feelings of physical tension or discomfort until they 
really grab my attention. 
1 
2 
3 
4 
5 
6 
I forget a person’s name almost as soon as I’ve been told it for the first 
time. 
1 
2 
3 
4 
5 
6 
It seems I am “running on automatic,” without much awareness of what 
I’m doing. 
1 
2 
3 
4 
5 
6 
I rush through activities without being really attentive to them. 
1 
2 
3 
4 
5 
6 
I get so focused on the goal I want to achieve that I lose touch with 
what I’m doing right now to get there. 
1 
2 
3 
4 
5 
6 
I do jobs or tasks automatically, without being aware of what I’m doing. 
1 
2 
3 
4 
5 
6 
I find myself listening to someone with one ear, doing something else at 
the same time. 
1 
2 
3 
4 
5 
6 
I drive places on ‘automatic pilot’ and then wonder why I went there. 
1 
2 
3 
4 
5 
6 
I find myself preoccupied with the future or the past. 
1 
2 
3 
4 
5 
6 
I find myself doing things without paying attention. 
1 
2 
3 
4 
5 
6 
I snack without being aware that I’m eating. 
1 
2 
3 
4 
5 
6 
Scoring: To score the scale, simply compute a mean (average) of the 15 items. Higher scores reflect higher 
levels of dispositional mindfulness. 
 

90 
Curiosity and Exploration Inventory-II 
Curiosity and Exploration Inventory (CEI-II) 
Instructions: Rate the statements below for how accurately they 
reflect the way you generally feel and behave. Do not rate what you 
think you should do, or wish you do, or things you no longer do. 
Please be as honest as possible. 
Very Slightly or 
Not at all 
A Little 
Moderately 
Quite a Bit 
Extremely 
1. 
I actively seek as much information as I can in new situations. 
1 
2 
3 
4 
5 
2. 
I am the type of person who really enjoys the uncertainty of 
everyday life. 
1 
2 
3 
4 
5 
3. 
I am at my best when doing something that is complex or 
challenging. 
1 
2 
3 
4 
5 
4. 
Everywhere I go, I am out looking for new things or 
experiences. 
1 
2 
3 
4 
5 
5. 
I view challenging situations as an opportunity to grow and learn. 
1 
2 
3 
4 
5 
6. 
I like to do things that are a little frightening. 
1 
2 
3 
4 
5 
7. 
I am always looking for experiences that challenge how I think 
about myself and the world. 
1 
2 
3 
4 
5 
8. 
I prefer jobs that are excitingly unpredictable. 
1 
2 
3 
4 
5 
9. 
I frequently seek out opportunities to challenge myself and 
grow as a person. 
1 
2 
3 
4 
5 
10. 
I am the kind of person who embraces unfamiliar people, 
events, and places. 
1 
2 
3 
4 
5 
Stretching: 1, 3, 5, 7    /    Embracing: 2, 4, 6, 8, 10. 
 

91 
University Rhode Island Change Assessment Scale (URICA) 
Each statement below describes how a person might feel when stating therapy or approaching problems in his life. 
Please indicate the extent to which you tend to agree or disagree with each statement. In each case, make you 
choice in terms of how you feel right now, not what you have felt in the past or would like to feel. For all the 
statements that refer to your “problem”, answer in terms of problems related to substance use and/or mental 
health. The words, “here” and “this place” refer to your treatment center.  
 
There are five possible responses to each of the items in the questionnaire:  
1=Strongly Disagree  
2=Disagree  
3=Undecided  
4=Agree  
5=Strongly Disagree  
Circle the number that best describes how much you agree or disagree with each statement.  
 
Strongly 
Disagree 
Disagree 
Undecide
d 
Agree 
Strongly 
Agree 
1, As far as I am concerned, I don’t have any 
problems that need changing. 
1 
2 
3 
4 
5 
2. I think I might be ready for some self-
improvement. 
1 
2 
3 
4 
5 
3. I am doing something about the problems 
that had been bothering me. 
1 
2 
3 
4 
5 
4. It might be worthwhile to work on my 
problem. 
1 
2 
3 
4 
5 
5. As far as I am concerned, I don’t have any 
problems that need chaning 
1 
2 
3 
4 
5 
6. I am not the problem one. It doesn’t make 
much sense for me to consider changing. 
1 
2 
3 
4 
5 
7. I am finally doing some work on my problem. 
1 
2 
3 
4 
5 
8. I have been thinking that I might want to 
change something about myself. 
1 
2 
3 
4 
5 
9. I have been successful in working on my 
problem, but I’m not sure I can keep up the 
effort on my own. 
1 
2 
3 
4 
5 
10. At times my problem is difficult, but I am 
working on it. 
1 
2 
3 
4 
5 
11. Trying to change is pretty much a waste of 
time for me because the problem doesn’t have 
to do with me. 
1 
2 
3 
4 
5 
12. I’m hoping that I will be able to understand 
1 
2 
3 
4 
5 

92 
myself better. 
13. I guess I have faults, but there is nothing 
that I really need to change. 
1 
2 
3 
4 
5 
14. I am really working hard to change. 
1 
2 
3 
4 
5 
15. I have a problem, and I really think I should 
work on it. 
1 
2 
3 
4 
5 
16. I’m not following through with what I had 
already changed as well as I had hoped, and I 
want to prevent a relapse of the problem. 
1 
2 
3 
4 
5 
17. Even though I’m not always successful in 
changing, I am at least working on my problem. 
1 
2 
3 
4 
5 
18. I thought once I had resolved the problem I 
would be free of it, but sometimes I still find 
myself struggling with it. 
1 
2 
3 
4 
5 
19. I wish I had more ideas on how to solve my 
problems. 
1 
2 
3 
4 
5 
20. I have started working on my problem, but I 
would like help. 
1 
2 
3 
4 
5 
21. Maybe someone or something will be able 
to help me. 
1 
2 
3 
4 
5 
22. I may need a boost right now to help me 
maintain the changes I’ve already made. 
1 
2 
3 
4 
5 
23. I may be part of the problem, but I don’t 
really think I am. 
1 
2 
3 
4 
5 
24. I hope that someone will have some good 
advice for me. 
1 
2 
3 
4 
5 
25. Anyone can talk about changing; I’m actually 
doing something about it. 
1 
2 
3 
4 
5 
26. All this talk about psychology is boring. Why 
can’t people just forget about their problems. 
1 
2 
3 
4 
5 
27. I’m struggling to improve myself from 
having a relapse of my problem. 
1 
2 
3 
4 
5 
28. It is frustrating, but I feel I might be having a 
recurrence of a problem I thought I had 
resolved. 
1 
2 
3 
4 
5 
29. I have worries, but so does the next guy. 
1 
2 
3 
4 
5 

93 
30. I am actively working on my problem. 
1 
2 
3 
4 
5 
31. I would rather cope with my faults than try 
to change them. 
1 
2 
3 
4 
5 
32. After all I had done to try to change my 
problem, every now and again it comes back to 
haunt me. 
1 
2 
3 
4 
5 
 
URICA Scoring  
 
 
1. Obtain the average score per subscale using the following grid:  
Pre‐contemplation  
(PC)  
1._____________  
5._____________  
11._____________  
13._____________  
23._____________  
26._____________  
29._____________  
Total______ divided by 7=  
Average  
Contemplation  
(C)  
2._____________  
8._____________  
12._____________  
15._____________  
19._____________  
21._____________  
24._____________  
Total_____ divided by 7=  
Average  
Action  
(A)  
3._____________  
7._____________  
10._____________  
14._____________  
17._____________  
25._____________  
30._____________  
Total______ divided by 7=  
Average  
Maintenance  
(M)  
6._____________ 
16._____________ 
18._____________ 
22._____________ 
27._____________ 
28._____________ 
32._____________  
Total______ divided by 7=  
Average  
 
2. Compute the “Readiness for Change” score via the following formula: 
(Avg C + Avg A + Avg M) – Avg PC 
3. Compare the Readiness for Change score to the following group means. Choose the stage whose 
group average is closest to the computed Readiness Score: 
STAGE 
GROUP AVG 
Pre-Contemplation 
9.3 
Contemplation 
11.0 
Participation (Action) 
12.6 
Maintenance 
(Not Available) 
 
 
 
 
 

94 
Appendix 11 
Lack of transport of PF-5190457 by P-glycoprotein 
Armin Sadighi and Fatemeh Akhlaghi, Clinical Pharmacokinetics Research Laboratory, University of Rhode 
Island 
 
The Pfizer original investigator’s brochure indicate that PF-5190457 is transported by P-glycoprotein 1 
(permeability glycoprotein, abbreviated as P-gp or Pgp) also known as multidrug resistance protein 1 (MDR1).  
The basis of their experiments was in MDCK cell line and P-gp knockout mice.  To establish whether or not PF-
5190457 is transported by human P-gp, we have conducted in vitro transport experiments in normal Caco-2 
cells and Caco-2 cells over expressing P-glycoprotein.  Caco-2 cells was derived from colon of human 
Caucasian colon adenocarcinoma.  In order to induce P-gp, Caco-2 cells were treated with an anticancer 
agent, vinblastine until a resistance strain of the cells were developed.  Immunohistochemistry of vinblastine 
treated cells is shown in Figure 1 were green florescence indicate the increased expression of P-gp. 
 
 
Figure 1.  The higher expression of P-gp transporter on the membrane of P-gp induced cells compare to 
partial expression of the same transporter in normal Caco-2 cells has been confirmed using 
immunofluorescent imaging of cells. (Magnification ×20).   
The vinblastine treated cells were then functionally evaluated by the use of Calcine AM assay.  This assay 
is a well-established test for evaluating the functional activity of P-gp.  The P-gp activity in induced cells 
were 2-fold higher than normal Caco-2 cells (Figure 2).  Inhibitors of P-gp (verapamil and cyclosporine) 
reduced florescence intensity of calcine AM assay in a dose dependent manner while these inhibitors had 
no influence on normal Caco-2 cells (Figure 2). 

95 
Inhibitor concentration (µM)
0
20
40
60
80
100
120
140
Fluorescent yield
0
20
40
60
80
100
120
140
160
180
Normal cells (verapamil)
Normal cells (cyclosporin A)
P-gp induced cells (verapamil)
P-gp induced cells (cyclosporin A)
 
 
Figure 2.  The fluorescent yield of calcein measured for normal and P-gp induced Caco-2 cells in the 
presence of verapamil and cyclosporine A (P-gp inhibitors). Results show that by increasing the 
concentration of inhibitor in P-gp induced cells the fluorescent yield was increased, while there is no 
significant change for normal cells.  The plot shows that the functional activity of P-gp at baseline (no 
inhibitor present) in transporter-induced cells was more than 2 times higher than that in normal cell line. 
Then transport studies of PF-5190457 was carried out in both normal and P-gp induced cells lines.  PF-
5190457 transport across P-gp induced Caco-2 cells was carried out by adding the drug (5 µg/mL) to 
apical (A) and basolateral (B) sides of normal and P-gp induced cells.  The PF-57 transport was done for 4 
h and results obtained from three independent tests and reported as Mean±SD.  UR and ER were 
calculated <2 which means that PF-5190457 neither is actively uptaked nor effluxed by P-gp (Table 1). 
Table 1.  transport of PF-5190457 in normal Caco-2 and P-gp induced cells. 

96 
 
 
We have then investigated the effect of ethanol exposure on the possible transport of PF-5190457 by P-
gp.  PF-5190457 transport across P-gp induced Caco-2 cells was carried out by adding the drug (5 µg/mL) 
to apical (A) and basolateral (B) sides of cells. The drug transport was assessed after 24 h treatment in the 
absence (0 mM) and presence of EtOH (25-500 mM).  Cells were kept in the saturated EtOH chambers 
with the corresponding EtOH concentration at the humidified incubator (37 °C, 95% air+5% CO2) and by 
the end of 1 day treatment, the PF-5190457 transport experiments were performed for 4 h.  
The results obtained from three independent tests and reported as Mean ± SD.  Statistical significance 
between mean values was calculated using ANOVA (Sigma plot version 12). Probability values <0.05 were 
considered significant.  Table 2 shows the result of this experiment.  No statistically significant difference 
was observed for B-A transport of PF-5190457 in the absence and presence of 200 µl verapamil (P-gp 
inhibitor) for EtOH treated cells compare to negative control. Based on the results, while Efflux ration <2 
of PF-5190457 indicated that this compound is not a P-gp substrate. 
Table 2.  PF-5190457 transport across P-gp induced Caco-2 cells in the presence of different EtOH 
concentrations 
 

97 
 
* P-value: 0.01, **P-value: 0.079,  *** P-value: 0.22,  **** P-value: 0.5 
 
 
 
 
 
 
 
 
 
 
 

98 
Appendix 12 Standard Operation Procedures 
 
Standard of Procedure Sweet Preference 
Sweet Preference Task Setup 
Script: 
We will do the sweet preference task. We do this with our subjects to determine two things: 
 
whether they perceive things to be sweet and whether they are a “sweet liker”.  You will be 
presented with 25 small cups of different solutions. I will hand you one at a time and you will 
swish each solution in your mouth for 5 seconds and then spit it out. After swishing the 
solution, you will then answer two questions on the computer about that solution you just 
tasted. You will then take a sip of water, swish and spit that out as well. You will then repeat 
this 25 times total. Remember not to swallow the solutions or the water. 
ITEMS NEEDED: 
1. Mini Cups 
2. Tray 
3. Permanent Marker 
4. Pink Basin 
5. SPT Solutions (5 vials of 5 solutions, 25 vials total) 
6. Water 
 
PROCEDURE: 
Retrieve SPT Solutions from Nursing Station refrigerator 
1. Take out 25 mini cups, label them 1-25 
2. Lay out cups in 5 rows of 5 columns on the tray like below (with 1,6,11,16,21 facing closest 
to participant): 
 
1 
6 
11 
16 
21 
 A solutions 
2 
7 
12 
17 
22 
 B solutions 
3 
8 
13 
18 
23 
 C solutions 
4 
9 
14 
19 
24 
 D solutions 
5 
10 
15 
20 
25 
 E solutions 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 99 of 104                     
3. Open the bag of “A” solutions and fill the first row of cups 
4. Open the bag of “B” solutions and fill the second row of cups 
5. Open the bag of “C” solutions and fill the third row of cups 
6. Open the bag of “D” solutions and fill the fourth row of cups 
7. Open the bag of “E” solutions and fill the fifth row of cups 
8. Set up SPT Kiosk on computer for subject 
9. Have subject swish Solution #1 for 5 seconds and spit into basin 
10. Have subject complete SPT Kiosk for Trial #1 (two questions per trial) 
11. Have subject swish water for 5 seconds and spit into basin 
12. Repeat steps 9 through 11 for Solutions #2-25 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 100 of 104                     
Appendix 13 
Snaith Hamilton Pleasure Scale (SHAPS) 
 
Name: 
Date: 
Snaith Hamilton Pleasure Scale (SHAPS) 
 
This questionnaire is designed to measure your ability to experience pleasure in the last week. 
It is important to read each statement very carefully.   
Mark one of the boxes [   ] to indicated how much you agree or disagree with each statement. 
 
1. I would enjoy my favorite television or radio program: 
 
Strongly disagree 
[   ] 
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
2. I would enjoy being with my family or close friends: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ] 
 
3. I would find pleasure in my hobbies and pastimes: 
 
Strongly disagree 
[   ] 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 101 of 104                     
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
4. I would be able to enjoy my favorite meal: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ] 
 
5. I would enjoy a warm bath or refreshing shower: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ] 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 102 of 104                     
 
6. I would find pleasure in the scent of flowers or the smell of a fresh sea breeze or freshly baked bread: 
 
Strongly disagree 
[   ] 
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
 
7. I would enjoy seeing other people’s smiling faces: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ] 
 
8. I would enjoy looking smart when I have made an effort with my appearance: 
 
Strongly disagree 
[   ] 
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
9. I would enjoy reading a book, magazine or newspaper: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 103 of 104                     
Disagree 
 
[   ] 
Strongly disagree 
[   ] 
 
10. I would enjoy a cup of tea or coffee or my favorite drink: 
 
Strongly disagree 
[   ] 
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
11. I would find pleasure in small things, e.g. bright sunny day, a telephone call from a friend: 
 
Strongly disagree 
[   ] 
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
12. I would be able to enjoy a beautiful landscape or view: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ] 
 
13. I would get pleasure from helping others: 
 
Strongly disagree 
[   ] 

PI Name: 
Lorenzo Leggio, M.D., Ph.D., M.Sc. 
Page 104 of 104                     
Disagree 
 
[   ] 
Agree  
 
[   ] 
Strongly agree  
[   ] 
 
14. I would feel pleasure when I receive praise from other people: 
 
Definitely Agree [   ] 
Agree  
 
[   ] 
Disagree 
 
[   ] 
Strongly disagree 
[   ]