Chronic Pain and Prescription Opioid Use Among Socially Marginalized Nigerian Women: Exploring Supply Channels and Pathways to Misuse
Bibliographic record
Abstract
This study explores pathways to prescription opioid misuse and supply channels based on in-depth interviews with 16 socially marginalized Nigerian women suffering chronic pain. The pathways identified were medical pain treatment, prior substance use and opioid use for recreation and coping with psychological distress. Facing barriers to prescription opioids due to prescribing restrictions and provider stigma, many resorted to unlicensed chemist stores and street drug dealers for opioid analgesics, including fake and potentially harmful products. Patterns of prescription opioid misuse were woven into multiple and overlapping dynamics of marginalization shaping the lives of these women, including homelessness, sex work, substance use and intimate partner violence. Findings show a need to improve access to prescription opioids and other evidence-based approaches, framed within a trauma-informed approach to pain management. Further, integrating substance abuse treatment and pain management could make services responsive to the inter-related problems of chronic pain and prescription opioid misuse.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".