Community pharmacy naloxone supply, before and after rescheduling as an over‐the‐counter drug: sales and prescriptions data, 2014–2018
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
OBJECTIVES: To characterise the community pharmacy supply of naloxone by supply type - individual prescription, prescriber bag, and non-dispensed (supplied over the counter or expired) - during 2014-2018; to examine whether the 2016 rescheduling of naloxone as an over-the-counter drug influenced non-dispensed naloxone supply volume. DESIGN, SETTING: Analysis of monthly naloxone prescriptions (Pharmaceutical Benefits Scheme) and sales data (IQVIA), 2014-2018, for Australia and by state and territory; time series analysis of non-dispensed naloxone supply to assess effect of rescheduling on naloxone supply. MAJOR OUTCOMES: Total naloxone supply to community pharmacies; prescribed and non-dispensed naloxone supply. RESULTS: During 2014-2018, 372 351 400 μg units of naloxone were sold to community pharmacies: non-dispensed naloxone accounted for 205 866.5 units (55.3%), prescriber bags for 155 841 units (41.8%), and individual prescriptions for 10 643.5 units (2.9%). Population-adjusted national naloxone sales to community pharmacies increased between 2014 and 2018 (per year: incidence rate ratio [IRR], 1.15; 95% CI, 1.09-2.22). This increase was primarily attributable to increased volumes of prescriber bag naloxone (IRR, 1.63; 95% CI, 1.50-1.78) and, to a lesser extent, increased individual prescription supply (IRR, 2.04; 95% CI, 1.85-2.26). Non-dispensed naloxone supply volume was unchanged at the national level (IRR, 0.93; 95% CI, 0.85-1.01); changes in non-dispensed supply immediately following rescheduling and subsequently were not statistically significant in time series analyses for most jurisdictions. CONCLUSIONS: Total naloxone supply to community pharmacies in Australia increased between 2014 and 2018, but rescheduling that enabled over-the-counter access did not significantly influence the volume of non-dispensed naloxone.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it