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A roadmap for integrating neuroscience into addiction treatment : a consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine

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ISAM_NIG_Roadmap_1_.pdf (1.370Mb)
Date
23/12/2019
Author
Verdejo-Garcia, Antonio
Lorenzetti, Valentina
Manning, Victoria
Piercy, Hugh
Bruno, Raimondo
Hester, Rob
Pennington, David
Tolomeo, Serenella
Arunogiri, Shalini
Bates, Marsha E.
Bowden-Jones, Henrietta
Campanella, Salvatore
Daughters, Stacey B.
Kouimtsidis, Christos
Lubman, Dan I.
Meyerhoff, Dieter J.
Ralph, Annaketurah
Rezapour, Tara
Tavakoli, Hosna
Zare-Bidoky, Mehran
Zilverstand, Anna
Steele, Douglas
Moeller, Scott J.
Paulus, Martin
Baldacchino, Alexander Mario
Ekhtiari, Hamed
Keywords
Neuroscience
Addiction medicine
Treatment
Substance use disorder
fMRI
Neuomodulation
Neurophysiological assessment
Cognitive rehabilitation
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
RM Therapeutics. Pharmacology
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Abstract
Although there is general consensus that altered brain structure and function underpins addictive disorders, clinicians working in addiction treatment rarely incorporate neuroscience-informed approaches into their practice. We recently launched the Neuroscience Interest Group within the International Society of Addiction Medicine (ISAM-NIG) to promote initiatives to bridge this gap. This article summarizes the ISAM-NIG key priorities and strategies to achieve implementation of addiction neuroscience knowledge and tools for the assessment and treatment of substance use disorders. We cover two assessment areas: cognitive assessment and neuroimaging, and two interventional areas: cognitive training/remediation and neuromodulation, where we identify key challenges and proposed solutions. We reason that incorporating cognitive assessment into clinical settings requires the identification of constructs that predict meaningful clinical outcomes. Other requirements are the development of measures that are easily-administered, reliable, and ecologically-valid. Translation of neuroimaging techniques requires the development of diagnostic and prognostic biomarkers and testing the cost-effectiveness of these biomarkers in individualized prediction algorithms for relapse prevention and treatment selection. Integration of cognitive assessments with neuroimaging can provide multilevel targets including neural, cognitive, and behavioral outcomes for neuroscience-informed interventions. Application of neuroscience-informed interventions including cognitive training/remediation and neuromodulation requires clear pathways to design treatments based on multilevel targets, additional evidence from randomized trials and subsequent clinical implementation, including evaluation of cost-effectiveness. We propose to address these challenges by promoting international collaboration between researchers and clinicians, developing harmonized protocols and data management systems, and prioritizing multi-site research that focuses on improving clinical outcomes.
Citation
Verdejo-Garcia , A , Lorenzetti , V , Manning , V , Piercy , H , Bruno , R , Hester , R , Pennington , D , Tolomeo , S , Arunogiri , S , Bates , M E , Bowden-Jones , H , Campanella , S , Daughters , S B , Kouimtsidis , C , Lubman , D I , Meyerhoff , D J , Ralph , A , Rezapour , T , Tavakoli , H , Zare-Bidoky , M , Zilverstand , A , Steele , D , Moeller , S J , Paulus , M , Baldacchino , A M & Ekhtiari , H 2019 , ' A roadmap for integrating neuroscience into addiction treatment : a consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine ' , Frontiers in Psychiatry , vol. 10 , 877 , pp. 1-23 . https://doi.org/10.3389/fpsyt.2019.00877
Publication
Frontiers in Psychiatry
Status
Peer reviewed
DOI
https://doi.org/10.3389/fpsyt.2019.00877
ISSN
1664-0640
Type
Journal item
Rights
Copyright © 2019 Verdejo-Garcia, Lorenzetti, Manning, Piercy, Bruno, Hester, Pennington, Tolomeo, Arunogiri, Bates, Bowden-Jones, Campanella, Daughters, Kouimtsidis, Lubman, Meyerhoff, Ralph, Rezapour, Tavakoli, Zare-Bidoky, Zilverstand, Steele, Moeller, Paulus, Baldacchino and Ekhtiari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/19227

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