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Cited by 403

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Women and Addiction: The Importance of Gender Issues in Substance Abuse Research

Tuchman, Ellen·2010·Journal of Addictive Diseases

Abstract

Substance use was considered to be primarily a male problem, and many substance abuse studies are conducted with a predominance of male participants. However, recent substance abuse research indicates significant gender differences in the substance-related epidemiology, social factors and characteristics, biological responses, progressions to dependence, medical consequences, co-occurring psychiatric disorders, and barriers to treatment entry, retention, and completion. The epidemiology of women's drug use presents challenges separate from those raised by men's drug use. A convergence of evidence suggests that women with substance use disorders are more likely than men to face multiple barriers affecting access and entry to substance abuse treatment. Gender-specific medical problems as a result of the interplay of gender-specific drug use patterns and sex-related risk behaviors create an environment in which women are more vulnerable than men to human immunodeficiency virus. Individual characteristics and treatment approaches can differentially affect outcomes by gender. All of these differences have important clinical, treatment, and research implications.

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Metadata

Authors
Tuchman, E.
Venue
Journal of Addictive Diseases
Published
2010-04-16
Volume
29
Issue
2
Pages
127-138
ISSN
  • 1055-0887 (ISSN-L)
  • 1545-0848
OpenAlex
W2089624148
Cited by
403
References
95
FWCI
9.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Women and Addiction: The Importance of Gender Issues in Substance Abuse Research. https://app.cochat.ai/papers/10.1080/10550881003684582
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Tuchman, E. (2010). Women and Addiction: The Importance of Gender Issues in Substance Abuse Research. Journal of Addictive Diseases. https://doi.org/10.1080/10550881003684582

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.