Christa Corley , Ashley Craig , Safiyah Sadek , Julie A. Marusich , Samar N. Chehimi , Ashley M. White , Lexi J. Holdiness , Benjamin C. Reiner , Cassandra D. Gipson
{"title":"Enhancing translation: A need to leverage complex preclinical models of addictive drugs to accelerate substance use treatment options","authors":"Christa Corley , Ashley Craig , Safiyah Sadek , Julie A. Marusich , Samar N. Chehimi , Ashley M. White , Lexi J. Holdiness , Benjamin C. Reiner , Cassandra D. Gipson","doi":"10.1016/j.pbb.2024.173836","DOIUrl":null,"url":null,"abstract":"<div><p>Preclinical models of addictive drugs have been developed for decades to model aspects of the clinical experience in substance use disorders (SUDs). These include passive exposure as well as volitional intake models across addictive drugs and have been utilized to also measure withdrawal symptomatology and potential neurobehavioral mechanisms underlying relapse to drug seeking or taking. There are a number of Food and Drug Administration (FDA)-approved medications for SUDs, however, many demonstrate low clinical efficacy as well as potential sex differences, and we also note gaps in the continuum of care for certain aspects of clinical experiences in individuals who use drugs. In this review, we provide a comprehensive update on both frequently utilized and novel behavioral models of addiction with a focus on translational value to the clinical experience and highlight the need for preclinical research to follow epidemiological trends in drug use patterns to stay abreast of clinical treatment needs. We then note areas in which models could be improved to enhance the medications development pipeline through efforts to enhance translation of preclinical models. Next, we describe neuroscience efforts that can be leveraged to identify novel biological mechanisms to enhance medications development efforts for SUDs, focusing specifically on advances in brain transcriptomics approaches that can provide comprehensive screening and identification of novel targets. Together, the confluence of this review demonstrates the need for careful selection of behavioral models and methodological parameters that better approximate the clinical experience combined with cutting edge neuroscience techniques to advance the medications development pipeline for SUDs.</p></div>","PeriodicalId":19893,"journal":{"name":"Pharmacology Biochemistry and Behavior","volume":"243 ","pages":"Article 173836"},"PeriodicalIF":3.3000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0091305724001308/pdfft?md5=aa4255dccdd8362d16c8243d6cd08c90&pid=1-s2.0-S0091305724001308-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacology Biochemistry and Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0091305724001308","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Preclinical models of addictive drugs have been developed for decades to model aspects of the clinical experience in substance use disorders (SUDs). These include passive exposure as well as volitional intake models across addictive drugs and have been utilized to also measure withdrawal symptomatology and potential neurobehavioral mechanisms underlying relapse to drug seeking or taking. There are a number of Food and Drug Administration (FDA)-approved medications for SUDs, however, many demonstrate low clinical efficacy as well as potential sex differences, and we also note gaps in the continuum of care for certain aspects of clinical experiences in individuals who use drugs. In this review, we provide a comprehensive update on both frequently utilized and novel behavioral models of addiction with a focus on translational value to the clinical experience and highlight the need for preclinical research to follow epidemiological trends in drug use patterns to stay abreast of clinical treatment needs. We then note areas in which models could be improved to enhance the medications development pipeline through efforts to enhance translation of preclinical models. Next, we describe neuroscience efforts that can be leveraged to identify novel biological mechanisms to enhance medications development efforts for SUDs, focusing specifically on advances in brain transcriptomics approaches that can provide comprehensive screening and identification of novel targets. Together, the confluence of this review demonstrates the need for careful selection of behavioral models and methodological parameters that better approximate the clinical experience combined with cutting edge neuroscience techniques to advance the medications development pipeline for SUDs.
期刊介绍:
Pharmacology Biochemistry & Behavior publishes original reports in the areas of pharmacology and biochemistry in which the primary emphasis and theoretical context are behavioral. Contributions may involve clinical, preclinical, or basic research. Purely biochemical or toxicology studies will not be published. Papers describing the behavioral effects of novel drugs in models of psychiatric, neurological and cognitive disorders, and central pain must include a positive control unless the paper is on a disease where such a drug is not available yet. Papers focusing on physiological processes (e.g., peripheral pain mechanisms, body temperature regulation, seizure activity) are not accepted as we would like to retain the focus of Pharmacology Biochemistry & Behavior on behavior and its interaction with the biochemistry and neurochemistry of the central nervous system. Papers describing the effects of plant materials are generally not considered, unless the active ingredients are studied, the extraction method is well described, the doses tested are known, and clear and definite experimental evidence on the mechanism of action of the active ingredients is provided.