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Problems related to the capacity to successfully engage response inhibition are considered a risk factor for the development of substance use disorders (SUDs), but the evidence has been predominantly cross-sectional. In this commentary, we argue that recent longitudinal studies with multi-modal measures of response inhibition can improve understanding of how response inhibition may intersect with substance use among adolescents. Most Stop-Signal studies suggest that slower response inhibition predicts substance use progressions, with one multi-site study showing greater fronto-parietal activity indicative of risk. Most Go-NoGo studies suggest that blunted activation of prefrontal cortical areas during response inhibition predicts substance use progressions, while commission errors are less effective in identifying adolescents at risk. Studies differ in subject populations, outcome measures, statistical methods, and BOLD response contrasts, which challenge the capacity to compare and generalize findings. We encourage research teams throughout the globe to undertake multi-modal, longitudinal studies to assess brain functioning with large sample sizes, and when possible, before significant substance use potentially obscures interpretation of findings. Systematic review and meta-analysis of this growing literature are also important goals for future research., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: In adolescence, psychological problems and regular use of alcohol, cigarettes, cannabis and other drugs (AOD) tend to cluster together, strongly indicating that certain groups of young people are at elevated risk of developing a problematic use of AOD., Objective: The aim of the present study was to develop an easy-to-implement screening instrument to identify subgroups of young people with different psychological problems at risk of problem use of AOD., Method: 3589 randomly selected young Danes between 15 and 25years of age, from a national survey (n=2702) and a municipality survey (n=887), answered a 12-item questionnaire (YouthMap12) with 6 items identifying externalizing problems (EP6) and 6 items identifying internalizing problems (IP6). Latent class analysis (LCA) was used to characterize groups at risk, and associations were estimated between EP6 and IP6 and regular use of AOD, and between latent class membership and regular use of AOD., Results: LCA identified 6 classes with varying degrees of externalizing and internalizing problems: 70% of youth were in the low problem score class, and the remaining 30% were at various levels of risk. Regular use of cigarettes, cannabis and alcohol was strongly associated with classes characterized by externalizing problems, while over-the-counter and prescription medicine was strongly associated with classes characterized by internalizing problems., Conclusions: Youth at risk of problem use of AOD can be identified using a simple and easily administered instrument., (Copyright © 2016 Elsevier Ltd. All rights reserved.)