Using alone at home: What’s missing in housing-based responses to the overdose crisis?
Bibliographic record
Abstract
BACKGROUND: Against the backdrop of North America's overdose crisis, most overdose deaths are occurring in housing environments, largely due to individuals using drugs alone. Overdose deaths in cities remain concentrated in marginal housing environments (e.g., single-room occupancy housing, shelters), which are often the only forms of housing available to urban poor and drug-using communities. This commentary aims to highlight current housing-based overdose prevention interventions and to situate them within the broader environmental contexts of marginal housing. In doing so, we call attention to the need to better understand marginal housing as sites of overdose vulnerability and public health intervention to optimize responses to the overdose crisis. HARM REDUCTION AND OVERDOSE PREVENTION IN HOUSING: In response to high overdose rates in marginal housing environments several interventions (e.g., housing-based supervised consumption rooms, peer-witnessed injection) have recently been implemented in select jurisdictions. However, even with the growing recognition of marginal housing as a key intervention site, housing-based interventions have yet to be scaled up in a meaningful way. Further, there have been persistent challenges to tailoring these approaches to address dynamics within housing environments. Thus, while it is critical to expand coverage of housing-based interventions across marginal housing environments, these interventions must also attend to the contextual drivers of risks in these settings to best foster enabling environments for harm reduction and maximize impacts. CONCLUSION: Emerging housing-focused interventions are designed to address key drivers of overdose risk (e.g., using alone, toxic drug supply). Yet, broader contextual factors (e.g., drug criminalization, housing quality, gender) are equally critical factors that shape how structurally vulnerable people who use drugs navigate and engage with harm reduction interventions. A more comprehensive understanding of these contextual factors within housing environments is needed to inform policy and programmatic interventions that are responsive to the needs of people who use drugs in these settings.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".