ArticleSubstance use & misuse2017
Sociodemographic and Substance Use Disorder Determinants of HIV Sexual Risk Behavior in Men and Women in Outpatient Drug Treatment in the NIDA National Drug Abuse Treatment Clinical Trials Network.
Article in Substance use & misuse, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Substance use patterns among U.S. adults with HIV: identifying priorities for screening and interventions.AIDS care · 2025Article
- Donor-derived human herpesvirus 8 and development of Kaposi sarcoma among 6 recipients of organs from donors with high-risk sexual and substance use behavior.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021Article
- Implementation and Evaluation of a Text Message-Based Addiction Counseling Program (Text4Hope-Addiction Support): Protocol for a Questionnaire Study.JMIR research protocols · 2020Article
- Drug use by men admitted to a psychiatric hospital.Revista latino-americana de enfermagem · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSexual risk behavior is now the primary vector of HIV transmission among substance users in the United States with gender as a crucial moderator of risk behavior.
objectivesThe purpose of this study was to examine gender differences in factors (age, race/ethnicity, education) that predict main-partner unprotected sexual occasions (USO) using the unique platform of two parallel NIDA National Drug Abuse Treatment Clinical Trials Network gender-specific safer sex intervention trials.
methodsBaseline assessments of male (N = 430) and female (N = 377) participants included demographic characteristics; past 3-month sexual activity; and a diagnostic assessment for alcohol, cocaine/stimulant, and opioid use disorders. Using mixed effects generalized linear modeling of the main outcome USO, two-way interactions of gender with age, race/ethnicity, and education were evaluated and adjusted by alcohol, cocaine/stimulant, or opioid use disorder.
resultsWhen adjusted for alcohol use disorder, the interaction of education and gender was significant. For men, a high school or greater education was significantly associated with more USO compared to men with less than high school. For women, greater than high school education was significantly associated with less USO compared to women with a high school education. None of the other interactions were significant when adjusted for cocaine/stimulant or opioid use disorder. Conclusions/Importance: This study demonstrates gender differences in the relationship of education, alcohol use disorder, and main-partner USO in individuals in substance abuse treatment. This underscores the importance of considering demographic and substance use factors in HIV sexual risk behavior and in crafting prevention messages for this population.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.