Evidence map›Paper›PMID 41483161›Full record

ArticlePsychopharmacology2026

Predicting alcohol consumption and reward sensitivity using responses for natural sucrose reward in non-food-restricted rats.

Erika Shultz, Kristina Thompson, Howard Casey Cromwell

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

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0citing papers in PubMed
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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

3 authors.

Erika ShultzDepartment of Psychology, Bowling Green State University, 822 E. Merry Ave, Bowling Green, OH, 43403, USA. shultze@bgsu.edu.ORCID http://orcid.org/0009-0008-8928-1342
Kristina ThompsonDepartment of Psychology, Bowling Green State University, 822 E. Merry Ave, Bowling Green, OH, 43403, USA.
Howard Casey CromwellDepartment of Psychology, Bowling Green State University, 822 E. Merry Ave, Bowling Green, OH, 43403, USA.

Funding

Bowling Green State University Office of Sponsored Research 33000365GR
6 · The paper itself

Abstract

rationaleWhile around 50% of the risk for developing Alcohol Use Disorder (AUD) has been determined to be genetic, examining predictors of addictive-like behavior and individual variance in models without a family history of addiction is also important. Impaired reward sensitivity and response to natural reward may play a role in an individual's propensity to develop alcohol addiction. Little research has been done on predictors of alcohol addiction without food or water deprivation to coax animals into addiction.

objectivesThis study seeks to examine psychological and behavioral predictors of alcohol addiction in non-food restricted rats and determine whether sucrose seeking, consumption, and reward sensitivity relates to later motivation and reward-sensitivity related functions for ethanol.

methodsThis study examined the appetitive and consummatory behavior of female Wistar rats in self-administration tasks using sucrose and ethanol solutions and ad-libitum access to food and water. Varying time of access for sucrose was utilized to evaluate reward sensitivity analyzing inter-session and intra-session measures.

resultsOperant sucrose consumption predicted both 15% and 30% ethanol consumption in the home cage during 30-min exposure. Animals expressed key differences in reward sensitivity between natural and drug reward including lack of reward discrimination for sucrose during consumption along with different profiles of responding for sucrose and ethanol during the anticipatory motivated actions.

conclusionsUsing more precise measures of natural reward sensitivity could provide key insight into vulnerability to develop substance use disorders.

Indexed as

AddictionBehaviorEthanolFood restrictionMotivationRatReward sensitivitySucrose

Identifiers

PMID41483161

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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.