ArticleThe journal of pain2023
"I Refused to Get Addicted to Opioids": Exploring Attitudes About Opioid Use Disorder in Patients With Advanced Cancer Pain and Their Support People.
Article in The journal of pain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- The impact of opioid stigma on patient-provider interaction and decision-making in cancer pain management: a qualitative meta-synthesis.BMC palliative care · 2026Article
- Trends in Outpatient Opioid Prescriptions for Cancer Pain Between 2016 and 2021.JCO oncology practice · 2025Article
- Review
- Opioid Use in Cancer Pain Management: Navigating the Line Between Relief and Addiction.International journal of molecular sciences · 2025Review
- "I don't tell anyone I have them:" Experiences with opioid stigma from the perspective of survivors living with chronic cancer-related pain and clinicians that care for them.The journal of pain · 2025Article
- The burden of acute pain in the U.S. in the wake of the opioid crisis.Frontiers in pain research (Lausanne, Switzerland) · 2025Review
- Pain Research and Treatment: Policy Implications.Policy insights from the behavioral and brain sciences · 2024Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Patients with advanced cancer are commonly prescribed opioids, yet patient attitudes about opioid risks (eg, opioid use disorder, or OUD) are understudied. Our objective was to use in-depth qualitative interviews to understand perceptions of opioid prescribing and OUD in patients with advanced, solid-tumor cancers and their support people. We conducted a qualitative study using a rigorous inductive, qualitative descriptive approach to examine attitudes about OUD in patients with advanced cancer (n = 20) and support providers (n = 11). Patients with cancer hold 2 seemingly distinct views: prescription opioids are addictive, yet OUD cannot happen to me or my loved one. Participants described general concerns about the addictive nature of prescription opioids ("My biggest concern… would just be the risk of getting addicted to the medication or even like, overdosing it"), while separating cancer pain management from OUD when considering prescription opioid risks and benefits ("They need to make sure they get the right ones, when they're taking it away from you."). Finally, participants identified personal characteristics and behaviors that they felt were protective against developing OUD (commonly control, willpower, and responsibility). This rigorous qualitative study demonstrates that patients with advanced cancer and their support people simultaneously hold concerns about the addictive nature of prescription opioids, while distancing from perceptions of OUD risks when using opioids for cancer pain management. Given high rates of opioid exposure during advanced cancer treatment, it is important to explore opportunities to promote a balanced understanding of prescription opioid use and OUD risks in this population. PERSPECTIVE: Though prescription opioids carry risk of OUD, there is little data to help guide patients with advanced cancer. Findings suggest that there is a need to develop new, innovative strategies to promote effective pain management and minimize opioid risks in this complex population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.