Evidence map›Paper›PMID 40800429›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Common and distinct drug cue reactivity patterns associated with cocaine and heroin: An fMRI meta-analysis.

Jordan M Dejoie, Nicole Senia, Anna B Konova, David V Smith, Dominic S Fareri

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In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jordan M DejoieGordon F. Derner School of Psychology, Adelphi University, Garden City, NY, United States.
Nicole SeniaGordon F. Derner School of Psychology, Adelphi University, Garden City, NY, United States.
Anna B KonovaDepartment of Psychiatry, Rutgers University, New Brunswick, NJ, United States.
David V SmithDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.
Dominic S FareriGordon F. Derner School of Psychology, Adelphi University, Garden City, NY, United States.

Funding

The role of social support and close relationships on neural and behavioral computations of valueR15MH122927 · NIMH · ADELPHI UNIVERSITY · PI FARERI, DOMINIC · 2020 to 2020
$388k
NIMH NIH HHS R15 MH122927
6 · The paper itself

Abstract

Substance use and substance use disorders represent ongoing major public health crises. Specifically, the use of substances such as cocaine and heroin are responsible for over 50,000 drug-related deaths combined annually. We used a comparative meta-analysis procedure to contrast activation patterns associated with cocaine and heroin cue reactivity, which may reflect substance use risk for these substances. PubMed and Google Scholar were searched for studies with within-subject whole brain analyses comparing drug to neutral cues for users of cocaine and heroin published between 1995 and 2022. A total of 18 studies were included, 9 in each subgroup. Voxel-based meta-analyses were performed using seed-based d mapping with permuted subject images (SDM-PSI) for subgroup mean analyses and a contrast meta-regression comparing the two substances. Results from our mean analysis indicated that users of heroin showed more widespread activation in the nucleus accumbens, right inferior and left middle temporal gyrus, right thalamus, and right cerebellum. Cocaine use was associated with recruitment of dorsolateral prefrontal cortex during cue reactivity. Direct comparison of cue reactivity studies in heroin relative to cocaine users revealed greater activation in dopaminergic targets for users of heroin compared to users of cocaine. Differential activation patterns between substances may underlie differences in the clinical characteristics observed in users of cocaine and heroin, including seeking emotional blunting in users of heroin. More consistent research methodology is needed to provide adequate studies for stringent meta-analyses examining common and distinct neural activation patterns across substances and moderation by clinically relevant factors.

Indexed as

cocainecue reactivitydrugfMRIheroinwhole-brain

Identifiers

PMID40800429
PMCPMC12272201

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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 OpenQuestion graph.