Evidence map›Paper›PMID 42094355›Full record

ArticlebioRxiv : the preprint server for biology2026

Reward Circuit Adaptations After Chronic Antipsychotic Treatment Confer Addiction Vulnerability.

Anna Kruyer, Ariana Angelis, Connor Waselenko, Aaron Tan, Shawn Xiong, Davide Amato

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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.

Anna KruyerDivision of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH.ORCID 0000-0001-9267-9492
Ariana AngelisDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC.
Connor WaselenkoDivision of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH.
Aaron TanDivision of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH.
Shawn XiongDivision of Pharmacy Practice, University of Cincinnati, Cincinnati, OH.
Davide AmatoDivision of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH.ORCID 0000-0003-3630-0147

Funding

Circuit-Selective Astroglial Plasticity During Opioid RelapseK01DA054339 · NIDA · UNIVERSITY OF CINCINNATI · PI Anna K Kruyer · 2022 to 2026
$918k
NIDA NIH HHS K01 DA054339
6 · The paper itself

Abstract

Objective –: Antipsychotics are widely used chronically to treat several psychiatric conditions and off-label indications, but their clinical utility is often accompanied by motor and/or metabolic side effects. Antipsychotics can also alter the brain's reward circuitry, and we recently showed that upon abrupt discontinuation, chronic treatment with the first-generation antipsychotic haloperidol increases cocaine relapse in a rodent model of i.v. cocaine self-administration. Here, we examined whether chronic treatment with second-generation antipsychotics was also associated with increased addiction vulnerability in rodents and humans, and sought to further characterize the cellular substrate linking antipsychotic exposure to substance use disorder (SUD). Methods –: Adult rats received subcutaneous infusion of risperidone, olanzapine, or vehicle for 14 days. Rats were then trained to self-administer i.v. cocaine or oral sucrose pellets for 10 days and active lever presses were paired with compound cue exposure. After a period of extinction training, reward seeking was reinstated by restoration of cues to active lever pressing for 20 minutes. To enable quantification of dendritic spine morphology and manipulation of MSNs during relapse, viral approaches were used to label D1- or D2-MSNs in the nucleus accumbens core (NAcore), a region that encodes reward-related responses and regulates symptoms associated with addiction and other psychiatric disorders, including schizophrenia. To assess the clinical relationship between chronic antipsychotic use and SUD, we conducted a systematic review and meta-analysis of studies identified through PubMed, CENTRAL, Scopus, and Embase that examined the effects of antipsychotic treatment on addictive substance use or craving in patients with SUD. Results –: In rats, chronic risperidone or olanzapine treatment delayed extinction learning and increased cue-induced cocaine seeking, but did not alter seeking of the natural reward sucrose or its extinction. Cued relapse increased spine head diameter in NAcore D2-MSNs, but not D1-MSNs after antipsychotic treatment relative to vehicle-treated controls. Chemogenetic inhibition of D2-MSNs reversed addiction vulnerability conferred by antipsychotic treatment. In patients whose SUDs were treated with antipsychotics, duration of treatment (>4 months) strongly predicted addictive substance use or craving independent of antipsychotic type (first- vs. second-generation) or misused substance (psychostimulant, opioid, alcohol, or cannabis). Conclusions –: Chronic antipsychotic treatment, regardless of drug class, was associated with increased vulnerability to addictive substance use and relapse-like behavior in a rat model, and was linked to potentiation of D2-MSNs in the ventral striatum. In humans, systematic review and meta-analytic findings supported this pattern in patients maintained on antipsychotic treatment.

Identifiers

PMID42094355
PMCPMC13142324

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.