Profiling violent incidents in a drug treatment sample: a tripartite model approach

This research focuses on the qualitatively descriptive accounts of drug-related violent incidents drawn from a treatment sample of 571 substance abuse clients in Ontario. Nearly half (n = 269) had experienced at least one violent incident in the past year, and 91% had used one or more substances prior to the most recent episode. The classification of the explicitly drug-related violent events (n = 176), based on Goldstein's tripartite model, is its first application in an adult drug treatment sample. Although respondents were not criminal offenders, and interpersonal violence related to psychopharmacological effects predominated, economic or systemic linkages related to drug scarcity and the drug market were implicated in one fifth of all occurrences. Alcohol and cocaine were the substances most implicated in all three aspects of the model. Since a drug treatment sample is a high-risk group for violence, interventions that raise awareness of potential for violence linked to not only intoxication but also scarcity conflicts and illicit drug market involvement are warranted. Since most violence occurs in the community, such initiatives may benefit those in treatment and serve as an important public health strategy.