Polymorphisms of the DRD2 , ANKK1 , DAT1 , DBH , and DRD4 genes have been found to moderate the effects of pharmacotherapy  of alcohol , opioid , and cocaine use disorders .
The integration of genetic information with clinical data will inform health professionals of the most efficacious pharmacotherapeutic intervention for substance use disorders .
Substance use disorders have significant personal , familial , and societal consequences .
Despite the serious consequences of substance use , only a few therapies are effective in treating substance use disorders , thus highlighting a need for improved treatment practice s. Substance use treatment response depends on multiple factors such as genetic , biological , and social factors .
It is essential that each component is represented in treatment plans .
The dopaminergic system plays a critical role in the pharmacotherapy for addictions , and an underst and ing of the role of variation of genes involved in this system is essential for its success .
Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
G*Power is a free power analysis program for a variety of statistical tests . We present extensions and improvements of the version introduced by Faul , Erdfelder , Lang , and Buchner ( 2007 ) in the domain of correlation and regression analyses . In the new version , we have added procedures to analyze the power of tests based on ( 1 ) single- sample tetrachoric correlations , ( 2 ) comparisons of dependent correlations , ( 3 ) bivariate linear regression , ( 4 ) multiple linear regression based on the r and om predictor model , ( 5 ) logistic regression  , and ( 6 ) Poisson regression . We describe these new features and provide a brief introduction to their scope and h and ling
Polymorphisms of the DRD2 , ANKK1 , DAT1 , DBH , and DRD4 genes have been found to moderate the effects of pharmacotherapy  of alcohol , opioid , and cocaine use disorders .
The integration of genetic information with clinical data will inform health professionals of the most efficacious pharmacotherapeutic intervention for substance use disorders .
Substance use disorders have significant personal , familial , and societal consequences .
Despite the serious consequences of substance use , only a few therapies are effective in treating substance use disorders , thus highlighting a need for improved treatment practice s. Substance use treatment response depends on multiple factors such as genetic , biological , and social factors .
It is essential that each component is represented in treatment plans .
The dopaminergic system plays a critical role in the pharmacotherapy for addictions , and an underst and ing of the role of variation of genes involved in this system is essential for its success .