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

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article number106175
JournalNeuroscience and Biobehavioral Reviews
Volume174
DOIs
StatePublished - Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd

Funding

Supported by NIH grants R01 DA053070 , F31 DA057050 , and T32 DA035200 . The authors thank E. Denehy for assistance in construction of graphical illustrations using GraphPad Prism 10.4.1, and they thank two anonymous peer reviewers whose comments led to improvement of the article. Version 4.1.2 of R was used to obtain intercepts and slopes for the linear and quadratic fits to the data from the 52 rats.

FundersFunder number
National Institutes of Health (NIH)R01 DA053070, F31 DA057050, T32 DA035200
National Institutes of Health (NIH)

    Keywords

    • Escalation
    • Genetics
    • Statistical modeling
    • Substance use disorder

    ASJC Scopus subject areas

    • Neuropsychology and Physiological Psychology
    • Cognitive Neuroscience
    • Behavioral Neuroscience

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