Self‐limiting non‐medical pharmaceutical opioid use among young people in Sydney, Australia: An exploratory study
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Indicators suggest an escalation in opioid use globally, with recent HIV outbreaks linked to non-medical pharmaceutical opioid (NMPO) use. Little is known about how young Australians engage in NMPO use. DESIGN AND METHODS: During 2015, we conducted qualitative interviews with young people (16-29 years) who reported oral NMPO use at least twice in the past 90 days. The study included a sample of injecting (n = 14) and oral (n = 22) users. This paper focuses on the oral user group. RESULTS: Most participants grew up in affluent areas of Sydney, reported few health problems, rarely accessed health or welfare services and had limited contact with police. NMPO use was part of a repertoire of drug use involving: (i) use to come down from stimulants; (ii) use in conjunction with cannabis and alcohol; and (iii) use by itself. Participants reported limiting their use in order to avoid stigma and dependence. DISCUSSION AND CONCLUSIONS: Results suggest culture of self-limiting NMPO use characterised by stable housing, disposable income and intimate friendship networks. Despite the adverse health outcomes observed in other settings, our data suggest that the patterns and meanings of NMPO use observed in this small sample may help explain the limited nature of problematic use among young Australians to date. Findings indicate a need for epidemiological data, including longitudinal data, to assess possible demographic shifts in NMPO use in Australia, and to address risk factors for dependence and transitions to injecting and heroin use in this population. [Dertadian GC, Dixon TC, Iversen J, Maher L. Self-limiting non-medical pharmaceutical opioid use among young people in Sydney, Australia: An exploratory study. Drug Alcohol Rev 2017;00:000-000].
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".