“If it wasn’t for them, I don’t think I would be here”: experiences of the first year of a safer supply program during the dual public health emergencies of COVID-19 and the drug toxicity crisis
Bibliographic record
Abstract
BACKGROUND: In response to the devastating drug toxicity crisis in Canada driven by an unregulated opioid supply predominantly composed of fentanyl and analogues, safer supply programs have been introduced. These programs provide people using street-acquired opioids with prescribed, pharmaceutical opioids. We use six core components of safer supply programs identified by people who use drugs to explore participant perspectives on the first year of operations of a safer supply program in Victoria, BC, during the dual public health emergencies of COVID-19 and the drug toxicity crisis to examine whether the program met drug-user defined elements of an effective safer supply model. METHODS: This study used a community-based participatory research approach to ensure that the research was reflective of community concerns and priorities, rather than being extractive. We interviewed 16 safer supply program participants between December 2020 and June 2021. Analysis was structured using the six core components of effective safer supply from the perspective of people who use drugs, generated through a prior study. RESULTS: Ensuring access to the 'right dose and right drugs' of medications was crucial, with many participants reporting success with the available pharmaceutical options. However, others highlighted issues with the strength of the available medications and the lack of options for smokeable medications. Accessing the safer supply program allowed participants to reduce their use of drugs from unregulated markets and manage withdrawal, pain and cravings. On components related to program operations, participants reported receiving compassionate care, and that accessing the safer supply program was a non-stigmatizing experience. They also reported receiving support to find housing, access food, obtain ID, and other needs. However, participants worried about long term program sustainability. CONCLUSIONS: Participants in the safer supply program overwhelmingly appreciated it and felt it was lifesaving, and unlike other healthcare or treatment services they had previously accessed. Participants raised concerns that unless a wider variety of medications and ability to consume them by multiple routes of administration became available, safer supply programs would remain unable to completely replace substances from unregulated markets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".