Evidence map›Paper›PMID 42071040›Full record

ArticleScientific reports2026

Classifying and visualizing medication use in the ABCD study.

Daniel A Lopez, L Nate Overholtzer, Kyung E Rhee, Natalie Buchbinder, Gloria E Ruiz-Orozco, Sam Steinhilber, Mia Tognoli, Arturo Lopez Flores, Bonnie J Nagel

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Daniel A LopezDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America. lopdanie@ohsu.edu.
L Nate OverholtzerUSC-Caltech MD-PhD Program, Keck School of Medicine, of the University of Southern California, Los Angeles, CA, United States of America.
Kyung E RheeDepartment of Pediatrics, University of California San Diego School of Medicine, Rady Children's Hospital San Diego, San Diego, CA, United States of America.
Natalie BuchbinderDepartment of Pediatrics, University of California San Diego School of Medicine, Rady Children's Hospital San Diego, San Diego, CA, United States of America.
Gloria E Ruiz-OrozcoDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America.
Sam SteinhilberDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America.
Mia TognoliDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America.
Arturo Lopez FloresDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America.
Bonnie J NagelDepartment of Psychiatry, Oregon Health and Science University, Portland, OR, United States of America.

Funding

IRACDA at OHSUK12GM150451 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Angela Renee Ozburn · 2023 to 2026
$3.2M
NIGMS NIH HHS K12 GM150451
6 · The paper itself

Abstract

Medication use during adolescence provides important insight into current health and treatment patterns. However, these data are often difficult to analyze due to the complexity of medication labeling and classification. We present a reproducible framework that standardizes medication categorization in the Adolescent Brain Cognitive Development Study (ABCD Study), improving analytic consistency and enabling more reliable findings across the research community. Parent-reported data on youth prescription and over-the-counter medication use from baseline through Year 6 of the ABCD Study were reviewed and harmonized. Medications were categorized using a combination of the Anatomical Therapeutic Chemical (ATC) Classification System, artificial intelligence-assisted methods, and expert clinical input. A case study illustrated the utility of this tool by examining longitudinal associations between antidepressant use and youth-reported internalizing symptoms on the Brief Problem Monitor (BPM-Y). More than 6,300 unique medication entries were consolidated into 95 clinically meaningful categories, each coded across three recall periods (past 24 h, past 2 weeks, past year). The most common unique medication labels were for cold/flu/allergy (553) and acne treatments (355). In the case study, adolescents taking antidepressants showed a significantly greater reduction in BPM-Y internalizing scores over time compared to nonusers. This study introduces a standardized and reproducible classification of prescription and over-the-counter medication use in the ABCD Study. The resulting framework-accompanied by an interactive dashboard and publicly available code-facilitates new opportunities for researchers to examine how medication exposure relates to adolescent brain, neurocognitive behavior, and developmental outcomes.

Indexed as

BrainCognitionNonprescription DrugsAdolescentAntidepressive AgentsFemaleHumansAntidepressive AgentsNonprescription DrugsAdolescent Brain Cognitive Development StudyAdolescent healthMedication classificationPharmacoepidemiologyReproducible research

Identifiers

PMID42071040
PMCPMC13328499

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.