The Stigma Surrounding Opioid Use as a Barrier to Cancer-Pain Management: An Overview of Experiences with Fear, Shame, and Poorly Controlled Pain in the Context of Advanced Cancer
Bibliographic record
Abstract
Cancer-related pain affects a majority of patients with advanced cancer and is often undertreated. The treatment of this pain is largely reliant on the use of opioids, which are essential medicines for symptom management and the maintenance of quality of life (QoL) for patients with advanced cancer. While there are cancer-specific guidelines for the treatment of pain, widespread publication and policy changes in response to the opioid epidemic have drastically impacted perceptions of opioid use. This overview therefore aims to investigate how manifestations of opioid stigma impact pain management in cancer settings, with an emphasis on the experiences of patients with advanced cancer. Opioid use has been widely stigmatized in multiple domains, including public, healthcare, and patient populations. Physician hesitancy in prescribing and pharmacist vigilance in dispensing were identified as barriers to optimal pain management, and may contribute to stigma in the context of advanced cancer. Evidence in the literature suggests that opioid stigma may result in patient deviations from prescription instructions, which generally leads to pain undertreatment. Patients reflected on experiencing shame and fear surrounding their prescription opioid use and feeling uncomfortable communicating with their healthcare providers on these topics. Our findings indicate that future work is required to educate patients and providers in order to de-stigmatize opioid use. Through alleviating stigma, patients may be better able to make decisions regarding their pain management which lead to freedom from cancer-related pain and improved QoL.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".