Evidence map›Paper›PMID 41497365›Full record

ArticleAddiction neuroscience2025

Recruitment of specific dopamine neuron sub-circuits by opioids.

Sage L Morison, Luan B Doster, Andrew D Vigotsky, Maria V Centeno, Natalia Lopez Gonzalez Del Rey, Apkar V Apkarian, Rajeshwar Awatramani

Abstract read
In one paragraph

Article in Addiction neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

7 authors.

Sage L MorisonThe Ken & Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA.
Luan B DosterThe Ken & Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA.
Andrew D VigotskyUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Maria V CentenoDepartment of Neuroscience, Northwestern University, Chicago, IL, USA.
Natalia Lopez Gonzalez Del ReyThe Ken & Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA.
Apkar V ApkarianDepartment of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Rajeshwar AwatramaniJohn Eccles Professor of Neurology, The Ken & Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA.

Funding

Rodent Behavior CoreP50DA044121 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AWATRAMANI, RAJESHWAR B · 2018 to 2022
$9.0M
NIDA NIH HHS P50 DA044121
6 · The paper itself

Abstract

Opioids have strong addictive and rewarding effects, largely attributed to their interaction with the dopamine (DA) system. Within the ventral tegmental area (VTA), opioids increase DA neural activity by disinhibiting-or decreasing the tonic inhibition of-DA neurons. This disinhibition results in an increase in DA in the nucleus accumbens, which has been widely implicated in addiction. With recent developments suggesting rich VTA DA neuron heterogeneity, a key question is whether opioid exposure activates distinct DA neuron subsets. Here, we address (i) whether this activation is uniformly distributed across the midbrain or, alternatively, is enriched in specific anatomically restricted DA populations, and (ii) the specificity of projections of activated DA neurons, giving insight into the circuitry receiving DA following opioid administration. Using intersectional cFos-based labeling, we find that captured cells are biased towards the VTA over the substantia nigra pars compacta (SNc), specifically towards the

Indexed as

AccumbensDopamineHeterogeneityOpioidsVTA

Identifiers

PMID41497365
PMCPMC12768494

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.