Evidence map›Paper›PMID 40280289›Full record

ReviewNeuroscience and biobehavioral reviews2025

Modeling escalation of drug intake to identify molecular targets for treating substance use disorders: A slippery slope upward.

M T Bardo, R J Charnigo, J D Shaykin, S G Malone, P I Ortinski, J R Turner

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

M T BardoDepartment of Psychology, College of Arts and Sciences, University of Kentucky, USA. Electronic address: mbardo@uky.edu.
R J CharnigoDepartment of Biostatistics, College of Public Health, University of Kentucky, USA.
J D ShaykinDepartment of Psychology, College of Arts and Sciences, University of Kentucky, USA.
S G MaloneDepartment of Psychology, College of Arts and Sciences, University of Kentucky, USA.
P I OrtinskiDepartment of Neuroscience, College of Medicine, University of Kentucky, USA.
J R TurnerDivision of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, USA.

Funding

Research Training in Drug Abuse BehaviorT32DA035200 · NIDA · UNIVERSITY OF KENTUCKY · PI CRAIG R RUSH, William Walton Stoops · 2013 to 2026
$4.4M
Functional and Genomic Signatures of Escalated Fentanyl UseR01DA053070 · NIDA · UNIVERSITY OF KENTUCKY · PI BARDO, MICHAEL T, ORTINSKI, PAVEL IVANOVICH · 2021 to 2025
$3.2M
Calcium Imaging of Central Amygdala Activity after Fentanyl EscalationF31DA057050 · NIDA · UNIVERSITY OF KENTUCKY · PI MALONE, SAMANTHA · 2022 to 2023
$78k
NIDA NIH HHS F31 DA057050NIDA NIH HHS R01 DA053070NIDA NIH HHS T32 DA035200
6 · The paper itself

Abstract

Among the various checklist items used to diagnose substance use disorders (SUDs), the most recent version of the Diagnostic and Statistical Manual (DSM-5) begins with three items that imply a loss of control characterized by taking increasingly larger amounts of the drug and for longer periods. This process, often called "escalation", has been modeled in laboratory animals with the goal of identifying the mechanisms associated with SUDs. The current review first summarizes the different interpretations used to explain escalation of drug intake. Next, we examine the various ways that escalation of intake has been defined in clinical populations and how preclinical models have captured this phenomenon in the laboratory. Next, we critically discuss the key issues relevant to statistical modeling of escalation of drug intake in both humans and non-human animals, with the goal of quantifying individual differences in escalation behavior that may be useful for identifying a SUD "phenotype". Although both preclinical and clinical data rarely consider individual differences in escalation as a discrete factor, we also summarize findings indicating that common models of escalated drug intake are associated with specific genetic and cellular changes. Building on this framework of investigation is intended to offer insights in understanding the trajectory of SUDs, thus uncovering novel avenues for prevention and treatment.

Indexed as

Substance-Related DisordersAnimalsDisease Models, AnimalHumansEscalationGeneticsStatistical modelingSubstance use disorder

Identifiers

PMID40280289
PMCPMC12119212

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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.