Literature DB >> 15129500

Evidence for opioid variability, Part 1: A biological perspective.

R C Polomano1, C M Gelnett, S M Heffner, J Lindenmuth, B A Brehm, D French, D L Reck.   

Abstract

The interplay of biological and pyschosocial factors explain the unique individual differences in opioid requirements that occur among postoperative patients. Nurses must be familiar with the physiologic mechanisms that influence opioid analgesia. Despite growing evidence that doses of opioid analgesics needed to achieve pain relief vary significantly from patient to patient, standardized dosing regimens continue to drive administration of medications for postoperative pain. In this article, evidence-based literature related to the biologic factors that contribute to differences in responses to opioid medication will be examined. Content will assist the Perioperative Nurse to recognize the pharmacology of opioid analgesics and the scientific basis for differences in the body's ability to metabolize and excrete opioids. These differences include age, gender, genetic predisposition, type of surgical procedure, preexisting pain, and prior or concurrent opioid use. Specific terms are introduced and defined to increase understanding of opioid variability.

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Year:  2001        PMID: 15129500

Source DB:  PubMed          Journal:  Semin Perioper Nurs        ISSN: 1056-8670


  3 in total

1.  Dissociation between sex differences in the immunological, behavioral, and physiological effects of kappa- and delta-opioids in Fischer rats.

Authors:  Jay C Elliott; Mitchell J Picker; Andrew J Sparrow; Donald T Lysle
Journal:  Psychopharmacology (Berl)       Date:  2006-01-06       Impact factor: 4.530

2.  Opioid receptor polymorphism A118G associated with clinical severity in a drug overdose population.

Authors:  A F Manini; M M Jacobs; D Vlahov; Y L Hurd
Journal:  J Med Toxicol       Date:  2013-06

3.  Expansion of the human mu-opioid receptor gene architecture: novel functional variants.

Authors:  Svetlana A Shabalina; Dmitri V Zaykin; Pavel Gris; Aleksey Y Ogurtsov; Josee Gauthier; Kyoko Shibata; Inna E Tchivileva; Inna Belfer; Bikashkumar Mishra; Carly Kiselycznyk; Margaret R Wallace; Roland Staud; Nikolay A Spiridonov; Mitchell B Max; David Goldman; Roger B Fillingim; William Maixner; Luda Diatchenko
Journal:  Hum Mol Genet       Date:  2008-12-22       Impact factor: 6.150

  3 in total

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