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Cited by 270

The DOI matches its Crossref record; 118 of the 118 references it cites were found in a registry or an index.

Analysis of opioid efficacy, tolerance, addiction and dependence from cell culture to human

Open access
Morgan, Michael M, Christie, MacDonald J·2011·British Journal of Pharmacology

Abstract

Opioid agonists are the most effective treatment for pain, but their use is limited by side effects, tolerance and fears of addiction and dependence. A major goal of opioid research is to develop agonists that have high analgesic efficacy and a low profile for side effects, tolerance, addiction and dependence. Unfortunately, there is a serious lack of experimental data comparing the degree to which different opioids produce these effects in humans. In contrast, a wide range of experimental techniques from heterologous expression systems to behaviour assessment in whole animals have been developed to study these problems. The objective of this review is to describe and evaluate these techniques as they are used to study opioid efficacy, tolerance, addiction and dependence. LINKED ARTICLES This article is part of a themed issue on Translational Neuropharmacology. To view the other articles in this issue visit http://dx.doi.org/10.1111/bph.2011.164.issue‐4

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Crossref · 10.1111/j.1476-5381.2011.01335.x

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Metadata

Authors
Morgan, M. M., & Christie, M. J.
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2011-10
Volume
164
Issue
4
Pages
1322-1334
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
OpenAlex
W1561275320
Cited by
270
References
118
FWCI
4.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Analysis of opioid efficacy, tolerance, addiction and dependence from cell culture to human. https://app.cochat.ai/papers/10.1111/j.1476-5381.2011.01335.x
The paper
Morgan, M. M., & Christie, M. J. (2011). Analysis of opioid efficacy, tolerance, addiction and dependence from cell culture to human. British Journal of Pharmacology. https://doi.org/10.1111/j.1476-5381.2011.01335.x

Data sources

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.