Effectiveness of Machine Learning Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding a) early dropout, b) participation duration, and c) success in reaching personal alcohol use goals. Additionally, we aimed to replicate earlier machine learning analyses. We used three cohorts of observational log data from the Jellinek Digital Self-help intervention.

The Association between Post-Traumatic Stress Disorder and Problematic Alcohol and Cannabis Use in a Multi-Ethnic Cohort in The Netherlands: The HELIUS Study.

(1) Background: Ethnic minorities exhibit a higher prevalence of post-traumatic stress disorder (PTSD), while results for problematic substance use among ethnic groups remain mixed. PTSD and problematic substance use often co-occur; however, the impact of ethnicity on this association has not yet been investigated. (2) Methods: Self-report data on problematic alcohol/cannabis use (AUDIT/CUDIT) and presence of severe PTSD symptoms (PSS-SR) of = 22,841 participants of Dutch ( = 4610), South-Asian Surinamese ( = 3306), African Surinamese ( = 4349), Ghanaian ( = 2389), Turkish ( = 3947), and Moroccan ( = 4240) origin were available from the HELIUS study.

Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study.

Background: For individuals who wish to reduce their cannabis use without formal help, there are a variety of self-help tools available. Although some are proven to be effective in reducing cannabis use, effect sizes are typically small. More insight into predictors of successful reduction of use among individuals who frequently use cannabis and desire to reduce/quit could help identify factors that contribute to successful cannabis use moderation.

Treatment Seeking Nitrous Oxide Users in Addiction Care: A Comparison with Cocaine Users on Clinical and Treatment Characteristics.

Introduction: Over the past decade, frequent use of large quantities of nitrous oxide (N2O) has become more common in the Netherlands. Although N2O poses several negative health consequences for a subgroup of problematic N2O users, there is a lack of knowledge on what characterizes these intensive users. This study therefore aims to provide the demographic and substance use characteristics and experiences during treatment of treatment seeking problematic N2O users and to compare this with a matched group of treatment-seeking problematic cocaine users.