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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 Publisher



Verdejogarcia A1 ; Lorenzetti V2 ; Manning V3, 4 ; Piercy H3, 4 ; Bruno R5 ; Hester R6 ; Pennington D7, 8 ; Tolomeo S9, 10 ; Arunogiri S3, 4 ; Bates ME11 ; Bowdenjones H12 ; Campanella S13 ; Daughters SB14 ; Kouimtsidis C15 Show All Authors
Authors
  1. Verdejogarcia A1
  2. Lorenzetti V2
  3. Manning V3, 4
  4. Piercy H3, 4
  5. Bruno R5
  6. Hester R6
  7. Pennington D7, 8
  8. Tolomeo S9, 10
  9. Arunogiri S3, 4
  10. Bates ME11
  11. Bowdenjones H12
  12. Campanella S13
  13. Daughters SB14
  14. Kouimtsidis C15
  15. Lubman DI3
  16. Meyerhoff DJ16
  17. Ralph A17
  18. Rezapour T18
  19. Tavakoli H18, 19
  20. Zarebidoky M19, 20
  21. Zilverstand A21
  22. Steele D22
  23. Moeller SJ23
  24. Paulus M24
  25. Baldacchino A8
  26. Ekhtiari H24

Source: Frontiers in Psychiatry Published:2019


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. © 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.
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