Evidence map›Paper›PMID 42425280›Full record

ReviewNeuroscience and biobehavioral reviews2026

The neuroimmune-glutamate hypothesis of addiction.

Cassandra D Gipson, Ashley M White, Daryl L Richie, Kathleen R McNealy, William W Stoops, Laura C Ornelas

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 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.

Cassandra D GipsonDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States. Electronic address: cdgips2@uky.edu.
Ashley M WhiteDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States.
Daryl L RichieDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States.
Kathleen R McNealyDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States.
William W StoopsDepartment of Behavioral Science, University of Kentucky, Lexington, KY, United States.
Laura C OrnelasDepartment of Psychology, University of New Mexico, Albuquerque, NM, United States.

Funding

NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
Neurobehavioral mechanisms underlying xylazine and fentanyl co-use and withdrawalR01DA058933 · NIDA · UNIVERSITY OF KENTUCKY · PI Cassandra D Gipson-Reichardt, Terry D Hinds · 2023 to 2026
$2.0M
Neuroinflammatory and glutamatergic mechanisms of nicotine seekingR01DA046526 · NIDA · UNIVERSITY OF KENTUCKY · PI GIPSON-REICHARDT, CASSANDRA D · 2019 to 2023
$1.9M
Glutamergic Mechanisms in Opioid and Cocaine Co-UseR33DA049130 · NIDA · UNIVERSITY OF KENTUCKY · PI GIPSON-REICHARDT, CASSANDRA D, STOOPS, WILLIAM WALTON · 2022 to 2024
$1.9M
Corticolimbic circuitry in adaptive stress coping behavior and subsequent alcohol drinkingR00AA029730 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Laura C. Ornelas · 2024 to 2026
$733k
Glutamergic Mechanisms in Opioid and Cocaine Co-UseR21DA049130 · NIDA · UNIVERSITY OF KENTUCKY · PI GIPSON-REICHARDT, CASSANDRA D, STOOPS, WILLIAM WALTON · 2020 to 2021
$402k
Neuroimmune and Cognitive Consequences of Nicotine Use in a Rodent Model of HIV: Implications for Anti-Retroviral TherapiesR03DA061626 · NIDA · UNIVERSITY OF KENTUCKY · PI GIPSON-REICHARDT, CASSANDRA D · 2024 to 2025
$324k
Corticolimbic circuitry in adaptive stress coping behavior and subsequent alcohol drinkingK99AA029730 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ORNELAS, LAURA C. · 2022 to 2023
$205k
NCATS NIH HHS TL1 TR001997NIAAA NIH HHS K99 AA029730NIAAA NIH HHS R00 AA029730NIDA NIH HHS R01 DA046526NIDA NIH HHS R01 DA058933NIDA NIH HHS R03 DA061626NIDA NIH HHS R21 DA049130NIDA NIH HHS R33 DA049130
6 · The paper itself

Abstract

Addictive drugs impact corticostriatal glutamate signaling and have immunomodulatory effects which may underlie drug-associated behaviors during different phases of the addiction cycle. Here we hypothesize that glutamate dyshomeostasis induced by addictive drug use and withdrawal is heavily orchestrated by the neuroimmune system. We systematically define how drug-induced pathologies within the nucleus accumbens (NA) glutamate tripartite synapse are tightly regulated by neuroimmune signaling. Targets within the neuroimmune system represent a novel approach that can be leveraged for clinical studies with immunomodulatory therapeutics to reverse neurobiological changes induced by addictive drugs, and thus meaningfully reduce negative clinical outcomes relevant to substance use disorders (SUDs). We outline a novel hypothesis that control of a newly defined neuroimmune-glutamate circuit and inflammasome is heavily dependent upon the type of addictive drug as well as on phase of the addiction cycle. We further provide translational evidence underscoring the tenet that neuroimmunomodulation by addictive drugs functions according to an opponent process, and we outline predictions of our opponent process hypothesis when applied to relevant polysubstance use patterns in people who use drugs. This framework could be strategically leveraged in the experimental design of clinical studies of novel SUD therapeutics.

Indexed as

Behavior, AddictiveGlutamic AcidNeuroimmunomodulationNucleus AccumbensSubstance-Related DisordersAnimalsHumansGlutamic AcidAddictionGlutamateImmunotherapeuticsNeuroimmunomodulationOpponent processPentapartite synapse

Identifiers

PMID42425280
PMCPMC13401274

What OpenQuestion holds

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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.