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Cited by 587

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Cocaine Use and HIV Infection in Intravenous Drug Users in San Francisco

Chaisson, Richard E.·1989·JAMA: The Journal of the American Medical Association

Abstract

We assessed risk factors for human immunodeficiency virus (HIV) infection in 633 heterosexual intravenous drug users. The HIV seroprevalence was 26% in blacks, 10% in Hispanics, and 6% in whites. Intravenous cocaine use significantly increased the risk of HIV infection, with a seroprevalence of 35% in daily cocaine users (odds ratio, 6.4; 95% confidence interval, 3.0 to 13.3). Black subjects were more likely to use cocaine regularly. Drug use in shooting galleries and sharing of drug injection equipment were also associated with HIV infection and were more common in cocaine users. By multivariate analysis, black race, daily cocaine injection by blacks and Hispanics, all other cocaine injection, heavy use prior to entry into methadone treatment by blacks, and use of drugs in shooting galleries were independent predictors of HIV infection. Methadone therapy was associated with substantial reductions in heroin use and some reduction in cocaine use, but 24% of cocaine users receiving methadone began or increased cocaine injection after entry into treatment.

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Metadata

Authors
Chaisson, R. E.
Venue
JAMA: The Journal of the American Medical Association
Published
1989-01-27
Volume
261
Issue
4
Pages
561
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2035142627
Cited by
587
References
0
FWCI
51.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cocaine Use and HIV Infection in Intravenous Drug Users in San Francisco. https://app.cochat.ai/papers/10.1001/jama.1989.03420040099027
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Chaisson, R. E. (1989). Cocaine Use and HIV Infection in Intravenous Drug Users in San Francisco. JAMA: The Journal of the American Medical Association. https://doi.org/10.1001/jama.1989.03420040099027

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.