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Promising and Proven Substance Abuse Prevention Programs

NCJ Number
189312
Author(s)
Paul J. Brounstein; Janine M. Zweig; Stephen E. Gardner
Date Published
2001
Length
45 pages
Annotation
This document is a compilation of both proven and promising substance abuse interventions presented in a grid and organized by risk factor and domain.
Abstract
For each intervention, the Data Matrix also includes information on target age, Institute of Medicine (IOM) prevention classification, program outcome, and the strategies specified in the Substance Abuse Prevention and Treatment (SAPT) block grant legislation. The IOM classification scheme helps delineate audiences for prevention programs. The three categories are universal, selective, and indicated preventive interventions. Universal preventive interventions are activities targeted to the general public that have not been identified on the basis of individual risk. Selective preventive interventions are activities targeted to individuals whose risk of developing a disorder is significantly higher than average. Indicated preventive interventions are activities targeted to individuals in high-risk environments. The data matrix provides information on the Center for Substance Abuse Prevention (CSAP) domains, which include individual, family, peer, school, community, and society/environmental domains of activity. As individuals develop, they interact with these domains, which play a role in determining whether a substance abuse problem develops. In addition, the matrix includes information on specific risk/protective factors, interventions, programs supporting the interventions, target age, IOM classifications, program outcomes, and SAPT strategies used by the programs. This information allows users to identify programs that will best address their needs. Three indexes allow users to search the matrix for scientifically defensible prevention programs by name, by subcategory of domain factors, and by outcome by domain. It is important to note that programs are often complex and target multiple domains and risk factors. As a result, many programs appear under more than one domain and are included in more than one matrix. 1 figure.