Including Families in a Response to the Unregulated Toxic Drug Crisis: A Call to Action
Bibliographic record
Abstract
The unregulated toxic drug crisis continues to be an urgent health issue in North America. Many families of people who use drugs have been significantly impacted by this issue. In addition to the thousands of North Americans who have been bereaved by drug mortality, many families are providing unpaid care to bridge gaps in services while navigating the grief and stress associated with caring for a loved one amidst a heavily politicized and rapidly changing context. Despite the impact on families, few interventions are in place to lessen the burden of the crisis. This commentary presents a call to action to include families of people who use drugs in a public health response to the toxic drug crisis. We emphasize the need for (1) the consideration and involvement of families in all aspects of policy and program decision making, (2) the recognition of families of people who use drugs within national caregiving and bereavement strategies; (3) increased supports and services for families; and (4) additional research and public health monitoring on the impact of the toxic drug crisis on families.
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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 | 0.024 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.037 | 0.040 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".