Building on a model used in the health services literature, this article examines differences among problem drinkers in treatment and in the general population to understand treatment utilization further. Discriminant function analysis showed significant differences between treated and untreated groups for men and women. For women, lifetime general treatment history, ethnicity, and employment were major contributors to the model; for men, the most important variables were social consequences, treatment history, and employment. For women, only the domain of individual predisposing variables provided a unique contribution to the model (p < 0.01). For men, the individual predisposing (p < 0.001), need (p < 0.001), and enabling (p < 0.01) domains did so. Findings indicate important differences in the factors that influence treatment entry for women and men.