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dc.contributor.authorRezapour, Tara
dc.contributor.authorRafei, Parnian
dc.contributor.authorBaldacchino, Alex
dc.contributor.authorConrod, Patricia J.
dc.contributor.authorDom, Geert
dc.contributor.authorFishbein, Diana H.
dc.contributor.authorKazemi, Atefeh
dc.contributor.authorHendriks, Vincent
dc.contributor.authorNewton, Nicola
dc.contributor.authorRiggs, Nathaniel R.
dc.contributor.authorSqueglia, Lindsay M.
dc.contributor.authorTeesson, Maree
dc.contributor.authorVassileva, Jasmin
dc.contributor.authorVerdejo-Garcia, Antonio
dc.contributor.authorEkhtiari, Hamed
dc.date.accessioned2024-03-11T16:30:13Z
dc.date.available2024-03-11T16:30:13Z
dc.date.issued2024-04
dc.identifier299324529
dc.identifier3324a91e-ccac-439f-810f-b40a6fb36ebf
dc.identifier85187210346
dc.identifier.citationRezapour , T , Rafei , P , Baldacchino , A , Conrod , P J , Dom , G , Fishbein , D H , Kazemi , A , Hendriks , V , Newton , N , Riggs , N R , Squeglia , L M , Teesson , M , Vassileva , J , Verdejo-Garcia , A & Ekhtiari , H 2024 , ' Neuroscience-informed classification of prevention interventions in substance use disorders : an RDoC-based approach ' , Neuroscience and Biobehavioral Reviews , vol. 159 , 105578 . https://doi.org/10.1016/j.neubiorev.2024.105578en
dc.identifier.issn0149-7634
dc.identifier.otherJisc: 1760690
dc.identifier.otherORCID: /0000-0002-5388-7376/work/154531944
dc.identifier.urihttps://hdl.handle.net/10023/29468
dc.description.abstractNeuroscience has contributed to uncover the mechanisms underpinning substance use disorders (SUD). The next frontier is to leverage these mechanisms as active targets to create more effective interventions for SUD treatment and prevention. Recent large-scale cohort studies from early childhood are generating multiple levels of neuroscience-based information with the potential to inform the development and refinement of future preventive strategies. However, there are still no available well-recognized frameworks to guide the integration of these multi-level datasets into prevention interventions. The Research Domain Criteria (RDoC) provides a neuroscience-based multi-system framework that is well suited to facilitate translation of neurobiological mechanisms into behavioral domains amenable to preventative interventions. We propose a novel RDoC-based framework for prevention science and adapted the framework for the existing preventive interventions. From a systematic review of randomized controlled trials using a person-centered drug/alcohol preventive approach for adolescents, we identified 22 unique preventive interventions. By teasing apart these 22 interventions into the RDoC domains, we proposed distinct neurocognitive trajectories which have been recognized as precursors or risk factors for SUDs, to be targeted, engaged and modified for effective addiction prevention.
dc.format.extent14
dc.format.extent1246712
dc.language.isoeng
dc.relation.ispartofNeuroscience and Biobehavioral Reviewsen
dc.subjectAdolescenceen
dc.subjectInterventionsen
dc.subjectSubstance use disordersen
dc.subjectResearch Domain Criteriaen
dc.subjectPreventionen
dc.subjectNeuroscienceen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subject3rd-NDASen
dc.subjectACen
dc.subject.lccRC0321en
dc.titleNeuroscience-informed classification of prevention interventions in substance use disorders : an RDoC-based approachen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. Centre for Minorities Research (CMR)en
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.identifier.doi10.1016/j.neubiorev.2024.105578
dc.description.statusPeer revieweden
dc.date.embargoedUntil2024-03-08


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