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Classifying and visualizing medication use in the ABCD study.

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Paper

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The authors' code

Markdown · 66 lines · 2 KB · no license

  1. 📌 Code Requirements & Notes
  2. 📂 Dataset Version
  3. All scripts require the ABCD 6.0 data release.
  4. 📚 Medication Categories
  5. You can explore the medication categories at the following resources:
  6. 🔹 Interactive Tableau Dashboard
  7. 👉 https://public.tableau.com/views/ABCD_Medications_v1/MedicationDashboard
  8. 🔹 Methodology Preprint (medRxiv)
  9. 👉 https://www.medrxiv.org/content/10.1101/2025.11.19.25340321v1
  10. 🗂️ Mapping File
  11. To reproduce the medication category definitions used in the Tableau dashboard, users should rely on the following two files in this repository:
  12. ABCD_Medication_Mapping_Github.xlsx
  13. Mapping_2wk_Med_Use
  14. These files contain the full medication mapping logic and category assignments used to generate the dashboard-level summaries, including harmonized medication groupings derived from ABCD medication variables.
  15. Users attempting to reproduce, extend, or audit the Tableau dashboard should use these files as the primary reference for medication classification.
  16. If you have any questions, concerns, or encounter issues when using these files, please feel free to reach out to [email hidden]
  17. .
  18. If you use this mapping framework in your work, please cite the following preprint:
  19. Lopez, D. A., et al. [Title]. medRxiv (2025).
  20. https://www.medrxiv.org/content/10.1101/2025.11.19.25340321v1
  21. 📄 Data Format
  22. Scripts assume the ABCD dataset is in long format:
  23. One row per participant per visit
  24. All medication survey items exist within that row
  25. 💻 Programming Language
  26. All scripts are written in R.
  27. 🏷️ Generated Variables
  28. For each category in the medication mapping file, the scripts generate three binary indicator variables:
  29. Variable Prefix Timeframe Notes
  30. x1yr_ Past year Only collected starting in Year 3
  31. x2wk_ Past 2 weeks Available at all visits
  32. x24hr_ Past 24 hours Available at all visits
  33. Each variable is coded:
  34. 1 → medication from that category was taken
  35. 0 → not taken
  36. ⚠️ Missing Data
  37. All NA values in generated variables are recoded to 0, meaning “did not take medication.”

README.md at commit df7d721, no license · at the source

Overview

Authors: Daniel A Lopez1,2, L Nate Overholtzer3, Kyung E Rhee4, Natalie Buchbinder4, Gloria E Ruiz-Orozco1,2, Sam Steinhilber1,2, Mia Tognoli1,2, Arturo Lopez Flores1,2, Bonnie J Nagel1,2
  1. Department of Psychiatry, Oregon Health and Science University, Portland, OR United States of America
  2. Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR United States of America
  3. USC-Caltech MD-PhD Program, Keck School of Medicine, of the University of Southern California, Los Angeles, CA United States of America
  4. Department of Pediatrics, University of California San Diego School of Medicine, Rady Children’s Hospital San Diego, San Diego, CA United States of America
Journal: Scientific reports, volume 16, issue 1, article 20462
Dates: received 25 January 2026; accepted 18 April 2026; published online 4 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-50046-8 · PMID 42071040 · PMCID PMC13328499 · OpenAlex W7160066663
Open access: gold, a free copy (OpenAlex)
Status: empty repository
Categories: human (organism), depression (population), developmental (subfield)
Methods: Connectivity, Statistics
Keywords: Medication classification, Pharmacoepidemiology, Adolescent health, Adolescent Brain Cognitive Development Study, Reproducible research, Diseases, Health care, Medical research, Neuroscience, Psychology
MeSH: Brain*, Cognition*, Nonprescription Drugs*, Adolescent, Antidepressive Agents, Female, Humans (* major topic)
Topic: Treatment of Major Depression (Pharmacology, Medicine), according to OpenAlex
Funding: NIGMS NIH HHS (K12 GM150451)
Citations: cited by 1 paper (Europe PMC); 28 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above.

Daniel-Adan-Lopez/ABCD_Medications

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: df7d72198b8889c8003913d066b9c02da84d7f30, 14 January 2026
Size: 5 files, 0 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
1 file

The paper's code and data availability statement is in the Data section.

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Data

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Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-50046-8.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 10 keywords, 7 MeSH terms, 1 funder, 20 references.

Cite

This paper

Lopez, D. A., Overholtzer, L. N., Rhee, K. E., Buchbinder, N., Ruiz-Orozco, G. E., Steinhilber, S., Tognoli, M., Flores, A. L., & Nagel, B. J. (2026). Classifying and visualizing medication use in the ABCD study. Scientific reports, 16(1), 20462. https://doi.org/10.1038/s41598-026-50046-8

BibTeX

@article{lopez2026classifying,
author = {Lopez, Daniel A and Overholtzer, L Nate and Rhee, Kyung E and Buchbinder, Natalie and Ruiz-Orozco, Gloria E and Steinhilber, Sam and Tognoli, Mia and Flores, Arturo Lopez and Nagel, Bonnie J},
title = {{Classifying and visualizing medication use in the ABCD study}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {20462},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-50046-8},
url = {https://doi.org/10.1038/s41598-026-50046-8},
pmid = {42071040},
pmcid = {PMC13328499}
}

RIS

TY - JOUR
AU - Lopez, Daniel A
AU - Overholtzer, L Nate
AU - Rhee, Kyung E
AU - Buchbinder, Natalie
AU - Ruiz-Orozco, Gloria E
AU - Steinhilber, Sam
AU - Tognoli, Mia
AU - Flores, Arturo Lopez
AU - Nagel, Bonnie J
TI - Classifying and visualizing medication use in the ABCD study
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/04
VL - 16
IS - 1
SP - 20462
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-50046-8
UR - https://doi.org/10.1038/s41598-026-50046-8
LA - en
ER -

CSL-JSON

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