{"id":435,"date":"2023-02-14T13:37:40","date_gmt":"2023-02-14T13:37:40","guid":{"rendered":"https:\/\/niaaa.peachpuff-wolverine-566518.hostingersite.com\/?p=435"},"modified":"2023-02-14T13:37:40","modified_gmt":"2023-02-14T13:37:40","slug":"new-research-characterizes-alcohol-use-disorder-profiles-to-predict-treatment-outcomes","status":"publish","type":"post","link":"https:\/\/scienceblog.com\/niaaa\/435\/new-research-characterizes-alcohol-use-disorder-profiles-to-predict-treatment-outcomes\/","title":{"rendered":"New Research Characterizes Alcohol Use Disorder Profiles To Predict Treatment Outcomes"},"content":{"rendered":"

Alcohol use disorder (AUD) is a heterogeneous disorder, meaning individuals with AUD differ in their clinical symptoms and in the biological and psychological factors that contribute to their disorder. A better understanding of individual differences in AUD could inform the development of tailored treatment approaches to increase treatment effectiveness. New research from the University of New Mexico, the University of Washington, and Syracuse University\u00a0published in\u00a0Psychology of Addictive Behaviors<\/em><\/a>\u00a0shows that assessing patients based on biological and psychological domains of addiction could be a good way to predict treatment outcomes.<\/p>\n

Addiction to alcohol and other substances can be framed as\u00a0a repeating cycle of three stages<\/a>\u00a0that link to and feed on each other. The binge\/intoxication stage is characterized by seeking the positive feelings of reward associated with alcohol. This stage also leads to the development of incentive salience, in which an object or event associated with alcohol consumption can itself trigger powerful urges to drink. The negative affect stage is marked by seeking alcohol for relief from the negative emotional and physical pain as well as other unpleasant feelings brought on by withdrawal when a person stops drinking. The preoccupation\/anticipation stage reflects changes in executive brain function that contribute to alcohol craving and loss of control over drinking.<\/p>\n

Several years ago, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) established an\u00a0Addictions Neuroclinical Assessment<\/a>\u00a0(ANA),\u00a0<\/u>a framework to better understand individual differences in AUD. The ANA incorporates measures related to incentive salience, negative emotionality, and changes in executive function. The current study built on previous research on these three addiction cycle domains and aimed to determine if a simplified assessment, which would be easier to implement in a broad range of clinical settings, could also be effective.<\/p>\n

The researchers used existing data from two of the largest AUD treatment clinical trials ever conducted\u2014Project MATCH<\/a>, a national, multisite, randomized clinical trial of treatment matching for AUD; and the\u00a0COMBINE Study<\/a>\u00a0(often referred to as COMBINE), the largest alcohol pharmacotherapy trial conducted in the United States. Using these data the researchers selected 15 measures corresponding to the three domains of the addiction cycle to determine if the domains could predict treatment outcomes among the participants. They found that the 15-measure assessment was specific enough\u2014and generalizable enough across sociodemographic groups\u2014to predict treatment outcomes.<\/p>\n

Specifically, the researchers found that individuals with higher negative emotionality and incentive salience prior to receiving treatment were more likely to have a higher intensity and frequency of drinking at one and three years after treatment. Additionally, individuals with high negative emotionality prior to treatment had the lowest overall functioning at three years post-treatment. Moreover, while executive function measures were not related to later drinking patterns, individuals with more self-control and greater executive function were more likely to maintain a non-abstinent recovery. Future research will determine if individualized profiles such as these could help drive the use of tailored behavioral or medication treatment approaches for AUD.<\/p>\n

 <\/p>\n

References:<\/strong>
\nWitkiewitz K, Stein ER, Votaw VR, Hallgren KA, Gibson BC, Boness CL, Pearson MR, Maisto SA. Constructs derived from the addiction cycle predict alcohol use disorder treatment outcomes and recovery 3 years following treatment. Psychol Addict Behav. 2022 Aug 11. Epub.\u00a0PubMed PMID: 35951419<\/a><\/p>\n

NIAAA [Internet]. The cycle of alcohol addiction [cited 2022 Oct 24]. Available from:\u00a0https:\/\/www.niaaa.nih.gov\/publications\/cycle-alcohol-addiction<\/a>.<\/p>\n

Koob GF, Le Moal M. Drug abuse: hedonic homeostatic dysregulation. Science. 1997 Oct 3;278(5335):52\u201358.\u00a0PubMed PMID: 9311926<\/a><\/p>\n

Kwako LE, Momenan R, Litten RZ, Koob GF, Goldman D. Addictions Neuroclinical Assessment: a neuroscience-based framework for addictive disorders. Biol Psychiatry. 2016 Aug 1;80(3):179\u2013189.\u00a0PubMed PMID: 26772405<\/a><\/p>\n

Project MATCH Research Group. Matching Alcoholism Treatments to Client Heterogeneity: Project MATCH posttreatment drinking outcomes. J Stud Alcohol.1997 Jan;58(1):7\u201329.\u00a0PubMed PMID: 8979210<\/a><\/p>\n

Anton RF, O’Malley SS, Ciraulo DA, Cisler RA, Couper D, Donovan DM, Gastfriend DR, Hosking JD, Johnson BA, LoCastro JS, Longabaugh R, Mason BJ, Mattson ME, Miller WR, Pettinati HM, Randall CL, Swift R, Weiss RD, Williams LD, Zweben A, COMBINE Study Research Group. Combined pharmacotherapies and behavioral interventions for alcohol dependence: the COMBINE study: a randomized controlled trial. JAMA. 2006 May 3;295(17):2003\u20132017.\u00a0PubMed PMID: 16670409<\/a><\/p>\n

_____________________________________________________________________________<\/p>\n

This article first appeared in\u00a0NIAAA Spectrum<\/a>.<\/em><\/p>\n

To receive email alerts from NIAAA, sign up at\u00a0https:\/\/public.govdelivery.com\/accounts\/USNIAAA\/subscriber\/new<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Alcohol use disorder (AUD) is a heterogeneous disorder, meaning individuals with AUD differ in their clinical symptoms and in the biological and psychological factors that contribute to their disorder. A better understanding of individual differences in AUD could inform the development of tailored treatment approaches to increase treatment effectiveness. 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