Evidence map›Paper›PMID 28294136›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2017

Opioid Modulation of Value-Based Decision-Making in Healthy Humans.

Marie Eikemo, Guido Biele, Frode Willoch, Lotte Thomsen, Siri Leknes

Open access · bronzeAbstract readControlled Clinical Trial
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Intact responses to non-drug rewards in long-term opioid maintenance treatment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Opioid-blunted cortisol response to stress is associated with increased negative mood and wanting of social reward.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Trial
  7. Trial
  8. Article
  9. Review
  10. Article
  11. The Role of the Rat Prefrontal Cortex and Sex Differences in Decision-Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Association of theJournal of psychopharmacology (Oxford, England) · 2021
    Article
  16. Review
  17. Article
  18. The role of the opioid system in decision making and cognitive control: A review.Cognitive, affective & behavioral neuroscience · 2019
    Review
  19. Opioid-Independent and Opioid-Mediated Modes of Pain Modulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Marie EikemoThe Department of Psychology, University of Oslo, Oslo, Norway.
Guido BieleThe Department of Psychology, University of Oslo, Oslo, Norway.
Frode WillochThe Department of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Lotte ThomsenThe Department of Psychology, University of Oslo, Oslo, Norway.
Siri LeknesThe Department of Psychology, University of Oslo, Oslo, Norway.
Oslo University Hospital · NOUniversity of Oslo · NONorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modifying behavior to maximize reward is integral to adaptive decision-making. In rodents, the μ-opioid receptor (MOR) system encodes motivation and preference for high-value rewards. Yet it remains unclear whether and how human MORs contribute to value-based decision-making. We reasoned that if the human MOR system modulates value-based choice, this would be reflected by opposite effects of agonist and antagonist drugs. In a double-blind pharmacological cross-over study, 30 healthy men received morphine (10 mg), placebo, and the opioid antagonist naltrexone (50 mg). They completed a two-alternative decision-making task known to induce a considerable bias towards the most frequently rewarded response option. To quantify MOR involvement in this bias, we fitted accuracy and reaction time data with the drift-diffusion model (DDM) of decision-making. The DDM analysis revealed the expected bidirectional drug effects for two decision subprocesses. MOR stimulation with morphine increased the preference for the stimulus with high-reward probability (shift in starting point). Compared to placebo, morphine also increased, and naltrexone reduced, the efficiency of evidence accumulation. Since neither drug affected motor-coordination, speed-accuracy trade-off, or subjective state (indeed participants were still blinded after the third session), we interpret the MOR effects on evidence accumulation efficiency as a consequence of changes in effort exerted in the task. Together, these findings support a role for the human MOR system in value-based choice by tuning decision-making towards high-value rewards across stimulus domains.

Indexed as

RewardAdultAnalgesics, OpioidComputer SimulationCross-Over StudiesDecision MakingDouble-Blind MethodHumansModels, NeurologicalMorphineMotor ActivityNaltrexoneNarcotic AntagonistsReaction TimeReceptors, Opioid, muYoung AdultAnalgesics, OpioidMorphineNaltrexoneNarcotic AntagonistsReceptors, Opioid, mu

Identifiers

PMID28294136
PMCPMC5520785
OpenAlexW2606190257

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.