Pathways to Addiction: A Gender-Based Study on Drug Use in a Triangular Clinic and Drop-in Center, Kerman, Iran
Bibliographic record
Abstract
BACKGROUND: Addiction is characterized differently among women and men, and they begin using drugs for different reasons and motives. OBJECTIVES: The aim of the study was to explore the gendered experiences and patterns of illicit drug use initiation in an Iranian context. PATIENTS AND METHODS: A total of 29 participants (15 men and 14 women) took part in in-depth interviews conducted at a HIV triangulation clinic (for men and women) and drop-in-center for women in Kerman in 2011. RESULTS: The results of the study suggest that patterns of drug use are different among Iranian men and women. Men often transit to drug use from cigarette smoking, whereas women's drug use practices often begins with opium. Unlike women, men who used drugs were often single at their drug use debut. CONCLUSIONS: Different patterns of first exposure to drug use among men and women highlight the role of gendered expectations and socio-cultural norms in shaping drug use experiences of people who use drugs and call for gender-specific harm reduction interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".