International Stakeholder Community of Pain Experts and Leaders Call for an Urgent Action on Forced Opioid Tapering
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
We, the undersigned, stand as a unified community of stakeholders and key opinion leaders deeply concerned about forced opioid tapering in patients receiving long-term prescription opioid therapy for chronic pain. This is a large-scale humanitarian issue. Our specific concerns involve: Opioid tapering guidelines were created, in part, to decrease harm to patients resulting from high-dose opioid therapy for chronic pain. However, countless “legacy patients” with chronic pain who were progressively escalated to high opioid doses, often over many years, now face additional and very serious risks resulting from rapid tapering or related policies that mandate extreme dose reductions that are aggressive and unrealistic. Rapid forced tapering can destabilize these patients, precipitating severe opioid withdrawal accompanied by worsening pain and profound loss of function. To escape the resultant suffering, some patients may seek relief from illicit (and inherently more dangerous) sources of opioids, whereas others may become acutely suicidal. Regardless of one’s view on the advisability of high-dose opioid therapy, every thoughtful clinician recognizes rapid tapering as a genuine threat to a large number of patients who are often medically complex and vulnerable. Indeed, even slower tapers should include realistic, patient-centered goals that are achievable and account for individual patient factors.
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 | 0.002 | 0.002 |
| 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 it