The role of opioid processes in reward and decision-making
Open accessAbstract
UNLABELLED: Contemporary theories emphasize the involvement of the endogenous opioid system in assigning hedonic values to rewards. Although earlier research supports this view, recent findings suggest that opioids play a larger and more complex role in reward processes than these theories suggest. For example, opioid activity in the basolateral amygdala is required for encoding incentive learning, a process by which the value of goal-directed actions is updated. Outside the amygdala, opioid receptors in the ventral striatum have been found to promote choice between different courses of action. Specifically, μ opioid receptors in the nucleus accumbens core and δ opioid receptors in the nucleus accumbens shell have been reported to mediate distinct aspects of incentive motivation; the core regulating the effect of experienced reward and the shell of predicted reward on choice. In both cases, the involvement of opioid receptors was restricted to the time of choice, although changes in their expression pattern could be observed prior to that point. This time-restricted involvement of opioid receptor-related processes is consistent with the view that opioids in the nucleus accumbens are central components of the limbic-motor interface, integrating reward-related information with instrumental learning to guide decision-making, particularly the selection and execution of goal-directed actions. LINKED ARTICLES: This article is part of a themed section on Opioids: New Pathways to Functional Selectivity. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2015.172.issue-2.
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The opioid system has a more complex role, including involvement in mediation of incentive motivation and learning via μ- and δ-opioid receptors in the NAc.
“However, in the recent years, a more complex role of the opioid system has been proposed, including its involvement in the mediation of incentive motivation and learning via μ- and δ- opioid receptors in the NAc; for a detailed review, see also Laurent et al. 2015.”
From Circuit Mechanisms of Reward, Anhedonia, and Depression (2019) · cites this paper as Laurent et al. 2015
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- Authors
- Laurent, V., Morse, A. K., & Balleine, B. W.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- Balleine, Bernard W
- Venue
- British Journal of Pharmacology
- Publisher
- Wiley
- Published
- 2014-12-23
- Volume
- 172
- Issue
- 2
- Pages
- 449-459
- ISSN
- 0007-1188 (ISSN-L)
- 1476-5381
- PMC
- PMC4292959
- OpenAlex
- W1944901559
- Cited by
- 64
- References
- 101
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 9 · 2021: 5 · 2020: 2 · 2019: 8 · 2018: 6 · 2017: 4 · 2016: 6 · 2015: 3 · 2014: 4
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- British Journal of Pharmacology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (MH56646)
- Australian Research Council (FL0992409)
- National Health and Medical Research Council (633267)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- endogenous opioid system, reward, decision-making, incentive learning, mu-opioid receptor, delta opioid receptor, nucleus accumbens, nucleus accumbens shell, nucleus accumbens core, ventral striatum, basolateral amygdala, incentive motivation, goal-directed behavior, operant conditioning, hedonic value
- MeSH terms
- Analgesics, Opioid, Animals, Decision Making, Humans, Learning, Receptors, Opioid, Reward, Taste
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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