The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Opioid dependence and addiction during opioid treatment of chronic pain
Abstract
Throughout the long history of opioid drug use by humans, it has been known that opioids are powerful analgesics, but they can cause addiction. It has also been observed, and is now substantiated by multiple reports and studies, that during opioid treatment of severe and short-term pain, addiction arises only rarely. However, when opioids are extended to patients with chronic pain, and therapeutic opioid use is not confined to patients with severe and short-lived pain, compulsive opioid seeking and addiction arising directly from opioid treatment of pain become more visible. Although the epidemiological evidence base currently available is rudimentary, it appears that problematic opioid use arises in some fraction of opioid-treated chronic pain patients, and that problematic behaviors and addiction are problems that need to be addressed. Since the potentially devastating effects of addiction can substantially offset the benefits of opioid pain relief, it seems timely to reexamine addiction mechanisms and their relevance to the practice of long-term opioid treatment for pain. This article reviews the neurobiological and genetic basis of addiction, its terminology and diagnosis, the evidence on addiction rates during opioid treatment of chronic pain and the implications of biological mechanisms in formulating rational opioid treatment regimes.
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Cited by
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Trends in long‐term opioid therapy for chronic non‐cancer pain
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Metadata
- Authors
- Ballantyne, J. C., & LaForge, S. K.
- Venue
- Pain
- Published
- 2007-06
- Volume
- 129
- Issue
- 3
- Pages
- 235-255
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W1977865300
- Cited by
- 447
- References
- 194
- FWCI
- 30.73
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.