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[Mechanisms of opioid tolerance and opioid dependence].

Authors: A, Muller; B, Koch; F, René; A L, Boutillier; V, See; J P, Loeffler;

[Mechanisms of opioid tolerance and opioid dependence].

Abstract

Prescription of opiates to non cancer chronic pain patients is controversial, partly because of the risk of tolerance and dependence development. The two objectives of that review were: a) to identify the factors which may explain the variability of tolerance and dependence in clinical practice; b) to analyse the cellular mechanisms of occurrence of those phenomenons.To our own file, we added articles retrieved in the Medline database, using, alone or in combination, following key-words (opiate, tolerance, dependence, opiate receptor, pain treatment, cAMP, cGMP, NO, NMDA, protein kinase, gene). Out of nearly 450 articles, we selected less than 200.Tolerance, defined as loss of opioid efficacy with time, is extremely variable and depends on pain mechanisms, intrinsic efficacy and administration modality of the opioid, as well as co-administration of other agents. Physical dependence is a consequence of the intrinsic and extrinsic adaptations concerning structures as locus coeruleus, paragigantocellular nucleus, spinal cord. Acute and chronic application of opiates and withdrawal give rise to cellular adaptations which depend on the nature and efficacy of the opiate, the type of receptor and second messengers, as well as the type of cell line under study. These cellular mechanisms have consequences on neuronal excitability and gene expression. They constitute a model of cellular tolerance and dependence, but cannot explain the subtelties encountered in clinical practice.

Keywords

Narcotics, Neurons, Gene Expression Regulation, Chronic Disease, Receptors, Opioid, Humans, Pain, Drug Tolerance, Opioid-Related Disorders, Second Messenger Systems

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
Related to Research communities
Cancer Research
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