ArticleCannabis (Albuquerque, N.M.)2023
Expanded Adverse Childhood Experiences (ACEs) and Adult Cannabis Use: A Latent Class Analysis.
Article in Cannabis (Albuquerque, N.M.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Bullying as an Adverse Childhood Experience?-State of the Art.Children (Basel, Switzerland) · 2026Review
- Identifying adverse childhood experiences and mental health needs among a small sample of pregnant women who use cannabis.Frontiers in psychiatry · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In addition to traditionally assessed abuse, neglect, and household dysfunction, adverse childhood experiences (ACEs) include adversities like racial discrimination, community violence, and bullying. Prior research established associations between the original ACEs and substance use, but few used Latent Class Analysis (LCA) to examine patterns of ACEs. Examining patterns of ACEs may yield additional insights beyond cumulative risk studies focusing only on the number of different ACEs experiences. Therefore, we identified associations between latent classes of ACEs and cannabis use. Studies on ACES rarely examine cannabis use outcomes, which is important as cannabis remains one of the most commonly used substances and is associated with negative effects on health. Yet it is still unclear how ACEs influence cannabis use. Participants were adults in Illinois (n = 712) recruited through Qualtrics' online quota-sampling method. They completed measures of 14 ACEs, past 30-day and lifetime cannabis use, medical cannabis use (DFACQ) and probable cannabis use disorders (CUDIT-R-SF). Latent class analyses were performed using ACEs. We identified four classes, labeled:
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Registered trials
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