MétaCan
Menu
Back to cohort
Record W2044254549 · doi:10.1080/00952990903108256

Substance Use and High Risk Sexual Behaviors among Women in Psychosocial Outpatient and Methadone Maintenance Treatment Programs

2009· article· en· W2044254549 on OpenAlexaff
Susan Tross, Jennifer Hanner, Mei‐Chen Hu, Martina Pavlicová, Aimee Campbell, Edward V. Nunes

Bibliographic record

VenueThe American Journal of Drug and Alcohol Abuse · 2009
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsColumbia College
FundersNational Institute on Drug AbuseNational Institute of Mental Health
KeywordsMethadone maintenancePsychosocialMedicinePsychiatrySubstance abuseMethadonePsychological interventionSexual abuseClinical psychologyPoison controlInjury preventionEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of the present study was to assess the association between substance use/diagnosis and sexual risk behaviors among women enrolled in both psychosocial outpatient (PS) and methadone maintenance (MM) treatment and involved in a HIV prevention intervention study within the National Institute for Drug Abuse Clinical Trials Network. METHODS: 515 sexually active women reported on unprotected sexual occasions (USO), anal sex, sex trading, sex with drug occasions, and multiple male sex partners at the baseline assessment. RESULTS: Within the PS sample, cocaine use diagnosis was associated with more than twice the risk of having multiple partners, trading sex for drugs, having anal sex, or having sex with drugs; alcohol or opioid use diagnosis was associated with fewer risk behaviors. Within the MM sample, cocaine use, alcohol use and opiate use diagnoses were each associated with one to two risk behaviors. Associations between sexual risk and substance using days were less frequent in both samples. CONCLUSIONS: These findings highlight the need for integration of HIV sexual prevention interventions that address the relationship between sexual risk behavior and substance use diagnoses into substance abuse treatment programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.309
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations50
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of Drug and Alcohol AbuseSame topicHIV, Drug Use, Sexual RiskFrench-language works237,207