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The ReCoDe addiction research consortium: Losing and regaining control over drug intake—Findings and future perspectives

  • Other members of the ReCoDe Consortium
  • Heidelberg University
  • Partner Site Heidelberg
  • Central Institute of Mental Health
  • University of Potsdam
  • Charité – Universitätsmedizin Berlin
  • Department of Child and Adolescent Psychiatry and the University Neuropsychology Center (UNC)
  • University Hospital Würzburg
  • Humanoid Technologies Lab (H2T)
  • Technische Universität Dresden
  • Department of Psychiatry
  • Universitätsklinikum Erlangen
  • Munich Partner Site
  • Partner Site Berlin
  • Max-Planck-lnstitut für Kohlenforschung
  • Medical School Berlin
  • Bethanien Hospital for Psychiatry

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

Substance use disorders (SUDs) are seen as a continuum ranging from goal-directed and hedonic drug use to loss of control over drug intake with aversive consequences for mental and physical health and social functioning. The main goals of our interdisciplinary German collaborative research centre on Losing and Regaining Control over Drug Intake (ReCoDe) are (i) to study triggers (drug cues, stressors, drug priming) and modifying factors (age, gender, physical activity, cognitive functions, childhood adversity, social factors, such as loneliness and social contact/interaction) that longitudinally modulate the trajectories of losing and regaining control over drug consumption under real-life conditions. (ii) To study underlying behavioural, cognitive and neurobiological mechanisms of disease trajectories and drug-related behaviours and (iii) to provide non-invasive mechanism-based interventions. These goals are achieved by: (A) using innovative mHealth (mobile health) tools to longitudinally monitor the effects of triggers and modifying factors on drug consumption patterns in real life in a cohort of 900 patients with alcohol use disorder. This approach will be complemented by animal models of addiction with 24/7 automated behavioural monitoring across an entire disease trajectory; i.e. from a naïve state to a drug-taking state to an addiction or resilience-like state. (B) The identification and, if applicable, computational modelling of key molecular, neurobiological and psychological mechanisms (e.g., reduced cognitive flexibility) mediating the effects of such triggers and modifying factors on disease trajectories. (C) Developing and testing non-invasive interventions (e.g., Just-In-Time-Adaptive-Interventions (JITAIs), various non-invasive brain stimulations (NIBS), individualized physical activity) that specifically target the underlying mechanisms for regaining control over drug intake. Here, we will report on the most important results of the first funding period and outline our future research strategy.

Original languageEnglish
Article numbere13419
JournalAddiction Biology
Volume29
Issue number7
DOIs
StatePublished - Jul 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • addiction
  • alcohol
  • alternative rewards
  • ambulatory assessment (AA)
  • animal models
  • behavioural control
  • cocaine
  • cognitive control
  • computational models
  • craving
  • decision-making
  • ecological momentary assessment (EMA)
  • habit formation
  • relapse
  • tobacco

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