Reframing the Overdose Crisis: Stigma, Industry Influence, and the Politics of Abuse-Deterrent Opioids
Bibliographic record
Abstract
Between 2013 and 2017, Canadian federal policymakers grappled with mandating abuse-deterrent formulations (ADFs) for oxycodone products as a response to the overdose crisis. Marketed as a safeguard against misuse and diversion, ADFs promised a technological fix to opioid-related harms, yet their population-level effectiveness remained contested. This study systematically analyzes federal parliamentary debates and committee hearings, identifying key arguments in framings to support or oppose ADF mandates. Proponents framed the crisis through the lens of individual misuse, positioning ADFs as pharmaceutical safeguards that protected "legitimate" patients while curbing illicit opioid use. Opponents challenged ADFs' effectiveness, highlighted Purdue Pharma's role in the crisis, and warned of unintended consequences, including shifts to more dangerous illicit markets. These discursive struggles reinforced a bifurcation between "legitimate" and "illegitimate" opioid use, shaping perceptions of responsibility, medical necessity, and the scope of appropriate intervention. Divergent framings reflected deeper ideological fissures over the etiology of the overdose crisis and who should be considered a justifiable opioid patient. By demonstrating how ADF debates entrenched a dichotomy between acceptable and unacceptable opioid use, this study advances theories of problem framing to demonstrate how policy debates actively shape regulatory paradigms and the boundaries of acceptable government intervention.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".