Profile of People Who Inject Drugs in Tehran, Iran.
Bibliographic record
Abstract
The marked shift in the patterns of drug use in Iran, from opium smoking to injecting drug use, has led to serious health-related outcomes. This study was designed to explore characteristics of people who inject drugs (PWID) in Tehran, Iran. Nine hundred and four PWID were recruited from treatment and harm reduction facilities, as well as drug user hangouts in public areas in Tehran. Participants were interviewed using the Persian version of the World Health Organization Drug Injecting Study Phase II questionnaire. The median age at the time of the first illegal drug use, at the time of the first injection and current age was 20, 24 and 32, respectively. In more than 80% of the cases, the first drug used was opium. The transition from the first drug use to the first drug injection occurred after an average of 6.6 and 2.7 years for those who had started drug use with opium and heroin, respectively. Two-thirds of the participants shared injecting equipment within the last 6 months. Difficulty in obtaining sterile needles and thehigh cost of syringes were reported as the major reasons for needle/syringe sharing. Approximately 80% of community-recruited PWID reported difficulties in using treatment or harm reduction services. Self-detoxification and forced detoxification were the most common types of drug abuse treatment in alifetime. Despite a dramatic shift in drug policy in Iran during the past few years, wider coverage of harm reduction services, improvement of the quality of services, and education about such services are still necessary.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".