ArticlemedRxiv : the preprint server for health sciences2025
Classifying and visualizing medication use in the Adolescent Brain Cognitive Development (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
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In one paragraphArticle in medRxiv : the preprint server for health sciences, 2025. 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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1 · What the graph read from itWhat it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
9 authors.
Daniel A LopezDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.ORCID 0000-0002-7358-2609 L Nate OverholtzerUSC-Caltech MD-PhD Program, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0002-6260-2205 Kyung E RheeDepartment of Pediatrics, University of California San Diego School of Medicine, Rady Children's Hospital San Diego, San Diego, California, United States of America.ORCID 0000-0001-5816-5869 Natalie BuchbinderDepartment of Pediatrics, University of California San Diego School of Medicine, Rady Children's Hospital San Diego, San Diego, California, United States of America.
Gloria E Ruiz-OrozcoDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.
Sam SteinhilberDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.
Mia TognoliDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.
Arturo Lopez-FloresDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.
Bonnie J NagelDepartment of Psychiatry, Oregon Health and Science University, Portland, Oregon, United States of America.ORCID 0000-0001-6339-7453 Funding
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MAdolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MProspective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2MABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7MABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9MFIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8MABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7MAdolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7MNIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itselfAbstract
Background: 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 Methods: 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). Findings: More than 6,300 unique medication entries were consolidated into 95 clinically meaningful categories, each coded across three recall periods (past 24 hours, 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. Conclusions: 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.
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PMID41332863
PMCPMC12668116
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