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Cited by 743

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Opioid Pharmacology

Trescot, Andrea M.·2008·Pain Physician

Abstract

Background: Mu agonists have been an important component of pain treatment for thousands of years. The usual pharmacokinetic parameters (half-life, clearance, volume of distribution) of opioids have been known for some time. However, the metabolism has, until recently, been poorly understood, and there has been recent interest in the role of metabolites in modifying the pharmacodynamic response in patients, in both analgesia and adverse effects. A number of opioids are available for clinical use, including morphine, hydromorphone, levorphanol, oxycodone, and fentanyl. Advantages and disadvantages of various opioids in the management of chronic pain are discussed. Objective: This review looks at the structure, chemistry, and metabolism of opioids in an effort to better understand the side effects, drug interactions, and the individual responses of patients receiving opioids for the treatment of intractable pain. Conclusion: Mu receptor agonists and agonist-antagonists have been used throughout recent medical history for the control of pain and for the treatment of opiate induced side effects and even opiate withdrawal syndromes. Key words: Opioid metabolism, opioid interactions, morphine, codeine, hydrocodone, oxycodone, hydromorphone, methadone, intractable pain, endorphins, enkephalins, dynorphins, narcotics, pharmacology, propoxyphene, fentanyl, oxymorphone, tramadol

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Metadata

Authors
Trescot, A. M.
Venue
Pain Physician
Published
2008-03-14
Volume
2s;11
Issue
3;2s
Pages
S133-S153
ISSN
  • 1533-3159 (ISSN-L)
  • 2150-1149
OpenAlex
W4238102997
Cited by
743
References
0
FWCI
30.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Opioid Pharmacology. https://app.cochat.ai/papers/10.36076/ppj.2008/11/s133
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Trescot, A. M. (2008). Opioid Pharmacology. Pain Physician. https://doi.org/10.36076/ppj.2008/11/s133

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.