ArticleDrug and alcohol dependence2013
Latent class analysis of polysubstance use, sexual risk behaviors, and infectious disease among South African drug users.
Article in Drug and alcohol dependence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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.
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Who cites it
33 citing papers in PubMed, 51 citations in OpenAlex.
- Soccer and Vocational Training are Ineffective Delivery Strategies to Prevent HIV and Substance Abuse by Young, South African Men: A Cluster Randomized Controlled Trial.AIDS and behavior · 2024Trial
- Utilizing Soccer for Delivery of HIV and Substance Use Prevention for Young South African Men: 6-Month Outcomes of a Cluster Randomized Controlled Trial.AIDS and behavior · 2023Trial
- Opioid withdrawal, craving, and use during and after outpatient buprenorphine stabilization and taper: a discrete survival and growth mixture model.Addictive behaviors · 2015Trial
- Daily polysubstance use associated with HIV, HCV, and non-fatal overdose among people who inject drugs: A latent class analysis using nationwide data.Drug and alcohol dependence · 2026Article
- Ecological momentary assessment study of same-hour polysubstance use among people who use opioids and additional substances.Drug and alcohol dependence · 2025Article
- Major Depression in Comorbidity with Substance use Disorders: Patients' Features and Clinical-Neurobiological Rationale of Antidepressant Treatments.Current neuropharmacology · 2025Review
- Predictors of substance use disorder treatment and mutual support group participation among Black women across the criminal legal spectrum: A latent class approach.Drug and alcohol dependence · 2024Article
- Polysubstance Use Patterns Associated With HIV Disease Severity Among Those With Substance Use Disorders: A Latent Class Analysis.Journal of studies on alcohol and drugs · 2023Article
- Resilience profiles predict polysubstance use in adolescents with a history of childhood maltreatment.Addiction research & theory · 2023Article
- Risk Behaviors Associated with Patterns of Sexualized Stimulant and Alcohol Use among Men Who Have Sex with Men: a Latent Class Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Latent Classes of Polysubstance Use and Associations with HIV Risk and Structural Vulnerabilities among Cisgender Women Who Engage in Street-Based Transactional Sex in Baltimore City.International journal of environmental research and public health · 2022Article
- Risk factors associated with infection of blood-borne virus among people who used methamphetamine.BMC infectious diseases · 2020Article
- Examining risk behavior and syringe coverage among people who inject drugs accessing a syringe services program: A latent class analysis.The International journal on drug policy · 2020Article
- Trends of poly-substance use among Canadian youth.Addictive behaviors reports · 2019Article
- A latent class analysis of the past-30-day substance use patterns among lifetime cocaine users: Findings from a community sample in North Central Florida.Addictive behaviors reports · 2019Article
- Patterns of Polysubstance Use Among Non-Hispanic White and American Indian/Alaska Native Adolescents: An Exploratory Analysis.Preventing chronic disease · 2019Observational
- A latent class analysis of alcohol and drug use immediately before or during sex among women.The American journal of drug and alcohol abuse · 2019Article
- The Opioid Epidemic in Africa And Its Impact.Current addiction reports · 2018Article
- Understanding HIV Risk Behaviors Among Young Men in South Africa: A Syndemic Approach.AIDS and behavior · 2018Article
- Differentially classified methamphetamine-using men who have sex with men: A latent class analysis.Drug and alcohol dependence · 2018Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundHIV transmission risk among non-injection drug users is high due to the co-occurrence of drug use and sexual risk behaviors. The purpose of the current study was to identify patterns of drug use among polysubstance users within a high HIV prevalence population.
methodsThe study sample included 409 substance users from the Pretoria region of South Africa. Substances used by 20% or more the sample included: cigarettes, alcohol, marijuana and heroin in combination, marijuana and cigarettes in combination, and crack cocaine. Latent class analysis was used to identify patterns of polysubstance use based on types of drugs used. Multivariate logistic regression analyses compared classes on demographics, sexual risk behavior, and disease status.
resultsFour classes of substance use were found: MJ+Cig (40.8%), MJ+Her (30.8%), Crack (24.7%), and Low Use (3.7%). The MJ+Cig class was 6.7 times more likely to use alcohol and 3 times more likely to use drugs before/during sex with steady partners than the Crack class. The MJ+Cig class was 16 times more likely to use alcohol before/during sex with steady partners than the MJ+Her class. The Crack class was 6.1 times more likely to engage in transactional sex and less likely to use drugs before/during steady sex than the MJ+Her class.
conclusionsFindings illustrate patterns of drug use among a polysubstance using population that differ in sexual risk behavior. Intervention strategies should address substance use, particularly smoking as a route of administration (ROA), and sexual risk behaviors that best fit this high-risk population.
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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.