Beyond harm-producing versus harm-reducing: A qualitative meta-synthesis of people who use drugs' perspectives of and experiences with the extramedical use and diversion of buprenorphine
Bibliographic record
Abstract
INTRODUCTION: This review synthesizes the literature on the perspectives and experiences of people who use drugs to better understand motivations and behaviors related to the extramedical use and diversion of buprenorphine. Given the particular social construction of buprenorphine against methadone, and the centrality of concerns around extramedical use in delivering opioid agonist therapies, a focus on extramedical buprenorphine use can provide an important lens through which to analyze treatment for opioid use disorder. This review is framed within persistent tensions between potential harm-producing versus harm-reducing effects of extramedical use that have long been described for opioid agonist therapies. METHODS: The research team conducted a qualitative meta-synthesis based on a systematic search of eight databases as well as hand searching. The review includes all primary qualitative and mixed-methods studies related to the perspectives and experiences of people who use drugs on extramedical buprenorphine use. The study team carried out three rounds of qualitative coding using NVivo 12, and constructivist grounded theory and the constant comparative method informed the synthesis. RESULTS: The review includes twenty-one studies. Findings are organized into the following three themes: 1) the experiences of people who use drugs (PWUD) with extramedical use of buprenorphine and their motivations to engage in it (including the desire to self-medicate and achieve "stability", to manage ongoing use of other opioids, and to "get high"); 2) the relationship between extramedical use and formal medical opioid agonist therapy programs; and 3) the established drug economy of extramedical buprenorphine. CONCLUSIONS: The review identified varied and often divergent perspectives and experiences with extramedical buprenorphine use. An examination of the reported "normalizing" effects of extramedical buprenorphine suggests this practice as extending medicalized discipline beyond the clinical environment. Taken together, these findings identify a need to move beyond the tension of harm-reducing versus harm-producing effects toward forms of health care and promotion that focus on the needs, perspectives, and priorities of people who use drugs.
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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 | 0.037 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".