Before revision:   We propose an alternative estimator that does not suffer from those issues.
After revision:  When a single treatment is interacted with mutually exclusive binary variables to investigate treatment effect heterogeneity, our result implies that the coefficient for a given subgroup may actually be contaminated by treatment effects in other subgroups. We propose an alternative estimator that does not suffer from those issues.