| Zusammenfassung: | This paper examined the predictive values of individual factors associated with use of substance abuse treatment services in the United States. Anderson and Newman's (2005) framework for evaluating health services utilization was employed as an explanatory model. The data source was the 2012 National Survey on Drug Use and Health (NSDUH 2012). Respondents in the dataset who reported substance dependency problem (n = 6209) in the previous year of the survey were selected to constitute the study sample. The dependent variable was "currently receiving treatment" and the explanatory variables were gender, marital status, age, race, education, employment, income, and health insurance. A bivariate analysis reduced the explanatory variables to five: gender, marital status, age, race, and education, based on their statistically significant correlation with the dependent variable, currently receiving treatment. However, in a multivariate context, only gender, age, and race turned out to be significant predictors of treatment services use. The findings reinforce the importance of gender, age, and race as predisposing determinants of substance abuse services use. It is suggested that these determinants should be given attention in policy making decisions.
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