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Trajectories of Heroin Addiction

Growth Mixture Modeling Results Based on a 33-Year Follow-Up Study

University of California, Los Angeles

David Huang

University of California, Los Angeles

Chih-Ping Chou

University of Southern California

M. Douglas Anglin

University of California, Los Angeles

This study investigates trajectories of heroin use and subsequent consequences in a sample of 471 male heroin addicts who were admitted to the California Civil Addict Program in 1964-1965 and followed over 33 years. Applying a two-part growth mixture modeling strategy to heroin use level during the first 16 years of the addiction careers since first heroin use, the authors identified three groups with distinctive profiles: stably high-level heroin users (n = 278), late decelerated users (n = 149), and early quitters (n = 44). Study findings empirically demonstrate the chronic nature of heroin addiction and subsequent adverse consequences including mortality, mental health, and employment.

Key Words: heroin • trajectory • growth mixture modeling

References

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Evaluation Review, Vol. 31, No. 6, 548-563 (2007)
DOI: 10.1177/0193841X07307315


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This Article Abstract Free Full Text (Free PDF) Free Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Web of Science (4) Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Hser, Y.-I. Articles by Anglin, M. D. Search for Related Content PubMed PubMed Citation Articles by Hser, Y.-I. Articles by Anglin, M. D. Pubmed/NCBI databases Compound via MeSH Substance via MeSH Medline Plus Health Information Drug Abuse Drugs and Young People Hazardous Substances DB HEROIN Social Bookmarking                         What's this?