Retrospective analysis of trends in dispensing long-acting non-tamper-resistant oxycodone near the Canada-United States border
Bibliographic record
Abstract
BACKGROUND: Since 2010, tamper-resistant long-acting oxycodone has been available in both the United States and Canada; however, generic non-tamper-resistant brands of the drug have only been introduced in Canada. We aimed to determine whether the introduction of generic non-tamper-resistant oxycodone in Canada led to increased sales from Canadian pharmacies near the Canada-US border. METHODS: We conducted a retrospective analysis of trends in dispensing of long-acting oxycodone from Canadian community pharmacies in geographic areas contiguous with the Canada-US border between Feb. 1, 2012, and Jan. 31, 2014. We reported the monthly dispensing rates of long-acting oxycodone by province and within each region near the Canada-US border. RESULTS: During the study period, 8 507 882 long-acting oxycodone tablets were dispensed by Canadian pharmacies in regions near Canada-US border crossings. After the introduction of generic non-tamper-resistant formulations in December 2012, the dispensing rate declined in the border regions of Ontario, British Columbia and Quebec, and rose slightly in Manitoba (4.4%) and New Brunswick (3.6%). Dispensing rates rose by 45.5% in Alberta and 92.3% in Saskatchewan; however, only 3341 of the tablets dispensed were a generic non-tamper-resistant formulation. An examination of the dispensing patterns in 50 border areas after the marketing of non-tamper-resistant brands in Canada showed no patterns suggestive of trafficking. INTERPRETATION: We found no large increases in the dispensing rates of generic non-tamper-resistant long-acting oxycodone in Canadian pharmacies near Canada-US border crossings such as were seen after the withdrawal of OxyContin in the United States in 2010. Despite our findings, Canadian clinicians and pharmacists should remain cautious in their prescribing and dispensing of non-tamper-resistant formulations of oxycodone because of their high potential for misuse and abuse.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".