Overdose Education and Naloxone Distribution Programmes and the Ethics of Task Shifting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract North America is in the grips of an epidemic of opioid-related poisonings. Overdose education and naloxone distribution (OEND) programmes emerged as an option for structurally vulnerable populations who could not or would not access mainstream emergency medical services in the event of an overdose. These task shifting programmes utilize lay persons to deliver opioid resuscitation in the context of longstanding stigmatization and marginalization from mainstream healthcare services. OEND programmes exist at the intersection of harm reduction and emergency services. One goal of OEND programmes is to help redress the health-related inequities common among people who use drugs, which include minimizing the gap between people who use drugs and the formal healthcare system. However, if this goal is not achieved these inequities may be entrenched. In this article, we consider the ethical promises and perils associated with OEND as task shifting. We argue that public health practitioners must consider the ethical aspects of task shifting programmes that may inadvertently harm already structurally vulnerable populations. We believe that even if OEND programmes reduce opioid-related deaths, we nevertheless question if, by virtue of its existence, OEND programmes might also unintentionally disenfranchise structurally vulnerable populations from comprehensive healthcare services, including mainstream emergency care.
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.
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 | 0.005 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it