Evidence map›Paper›PMID 41987932›Full record

ArticleNature. Mental health2026

A computational mechanism linking momentary craving and decision-making in alcohol drinkers and cannabis users.

Kaustubh R Kulkarni, Laura A Berner, Shawn A Rhoads, Vincenzo G Fiore, Daniela Schiller, Xiaosi Gu

Abstract read
In one paragraph

Article in Nature. Mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kaustubh R KulkarniCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.ORCID 0000-0001-6526-4873
Laura A BernerCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.ORCID 0000-0002-1430-8028
Shawn A RhoadsCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.ORCID 0000-0003-1350-9458
Vincenzo G FioreCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.
Daniela SchillerCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.ORCID 0000-0002-0357-7724
Xiaosi GuCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA.ORCID 0000-0002-9373-987X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Craving and maladaptive choices are intertwined across addictive disorders, yet the specific computational mechanisms mediating their interactions remain elusive. Here we tested a hypothesis that momentary craving and reinforcement learning influence each other during substance-related decision-making. Two substance-using groups with moderate to high addiction risk levels (alcohol drinkers and cannabis users; total

Indexed as

Computational modelsDecisionLearning algorithms

Identifiers

PMID41987932
PMCPMC13076233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.