Classifying and visualizing medication use in the ABCD study.
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
Markdown · 66 lines · 2 KB · no license
- 📌 Code Requirements & Notes
- 📂 Dataset Version
- All scripts require the ABCD 6.0 data release.
- 📚 Medication Categories
- You can explore the medication categories at the following resources:
- 🔹 Interactive Tableau Dashboard
- 👉 https://public.tableau.com/views/ABCD_Medications_v1/MedicationDashboard
- 🔹 Methodology Preprint (medRxiv)
- 👉 https://www.medrxiv.org/content/10.1101/2025.11.19.25340321v1
- 🗂️ Mapping File
- To reproduce the medication category definitions used in the Tableau dashboard, users should rely on the following two files in this repository:
- ABCD_Medication_Mapping_Github.xlsx
- Mapping_2wk_Med_Use
- 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.
- Users attempting to reproduce, extend, or audit the Tableau dashboard should use these files as the primary reference for medication classification.
- If you have any questions, concerns, or encounter issues when using these files, please feel free to reach out to [email hidden]
- .
- If you use this mapping framework in your work, please cite the following preprint:
- Lopez, D. A., et al. [Title]. medRxiv (2025).
- https://www.medrxiv.org/content/10.1101/2025.11.19.25340321v1
- 📄 Data Format
- Scripts assume the ABCD dataset is in long format:
- One row per participant per visit
- All medication survey items exist within that row
- 💻 Programming Language
- All scripts are written in R.
- 🏷️ Generated Variables
- For each category in the medication mapping file, the scripts generate three binary indicator variables:
- Variable Prefix Timeframe Notes
- x1yr_ Past year Only collected starting in Year 3
- x2wk_ Past 2 weeks Available at all visits
- x24hr_ Past 24 hours Available at all visits
- Each variable is coded:
- 1 → medication from that category was taken
- 0 → not taken
- ⚠️ Missing Data
- 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
- Department of Psychiatry, Oregon Health and Science University, Portland, OR United States of America
- Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR United States of America
- USC-Caltech MD-PhD Program, Keck School of Medicine, of the University of Southern California, Los Angeles, CA United States of America
- Department of Pediatrics, University of California San Diego School of Medicine, Rady Children’s Hospital San Diego, San Diego, CA United States of America
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
df7d72198b8889c8003913d066b9c02da84d7f30, 14 January 2026Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
1 file
- README.md, Text, 66 lines
The paper's code and data availability statement is in the Data section.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 0 scripts, each with its path and the digest of its content;
- no match between paragraphs and code yet;
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
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:
- it points to the authors' code: Daniel-Adan-Lopez/
ABCD_Medications
Read it in the paper: doi.org/10.1038/s41598-026-50046-8.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
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://
BibTeX
@article{lopez2026classi
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/
url = {https://
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/
VL - 16
IS - 1
SP - 20462
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"type": "article-journal",
"title": "Classifying and visualizing medication use in the ABCD study",
"container-title": "Scientific reports",
"author": [
{
"family": "Lopez",
"given": "Daniel A"
},
{
"family": "Overholtzer",
"given": "L Nate"
},
{
"family": "Rhee",
"given": "Kyung E"
},
{
"family": "Buchbinder",
"given": "Natalie"
},
{
"family": "Ruiz-Orozco",
"given": "Gloria E"
},
{
"family": "Steinhilber",
"given": "Sam"
},
{
"family": "Tognoli",
"given": "Mia"
},
{
"family": "Flores",
"given": "Arturo Lopez"
},
{
"family": "Nagel",
"given": "Bonnie J"
}
],
"container-title-short":
"volume": "16",
"issue": "1",
"page": "20462",
"DOI": "10.1038/
"PMID": "42071040",
"PMCID": "PMC13328499",
"ISSN": "2045-2322",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
4
]
]
}
}
The tracing map gets a citation of its own once an author has validated it and it has a DOI.
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1002/jcv2.70135 [code]
- Alterations in resting-state functional connectivity relate to psychopathology trajectories during emerging adolescence.Journal: JCPP advancesIn common: developmental, 3 references
- [2] doi:10.1016/j.ynirp.2026.100366 [code]
- Lower resting-state functional connectivity between frontoparietal and sensory networks is associated with recent pain intensity in a community sample of youth.Journal: Neuroimage. ReportsIn common: 3 references
- [3] doi:10.1162/imag.a.1220 [code]
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.Journal: Imaging neuroscience (Cambridge, Mass.)In common: 3 references
- [4] doi:10.1016/j.dcn.2026.101744 [code]
- The longitudinal structure of cognition in the ABCD study and associations with neural function and psychopathology: A Bayesian probabilistic principal components analysis.Journal: Developmental cognitive neuroscienceIn common: 3 references
- [5] doi:10.1016/j.dcn.2026.101755 [code]
- ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.Journal: Developmental cognitive neuroscienceIn common: developmental, 2 references
- [6] doi:10.1038/s41398-026-04045-y [code]
- Physical-Digital and social-nonsocial extracurricular engagement: differential effects on brain development and psychological outcomes in children.Journal: Translational psychiatryIn common: 3 references
- [7] doi:10.1002/pchj.70113
- Shared and Unique Patterns of Dysregulated Dual Systems Between Adolescent Problematic Video Gaming and ADHD.Journal: PsyCh journalIn common: developmental, 2 references
- [8] doi:10.3389/fpsyt.2026.1756782 [code]
- ADHD and gaming addiction in adolescents: psychosocial mediators in the adolescent brain cognitive development study.Journal: Frontiers in psychiatryIn common: developmental, 2 references
- [9] doi:10.1038/s41398-026-04121-3
- The sex-specific role of adrenal androgens in youth psychopathology.Journal: Translational psychiatryIn common: developmental, 2 references
- [10] doi:10.1016/j.dadr.2026.100463 [code]
- Substance use patterns from late childhood to mid-adolescence: Updates on the Adolescent Brain Cognitive Development Study.Journal: Drug and alcohol dependence reportsIn common: developmental, 2 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 1 repository of the authors' code, each at its verified commit and with its license, 0 scripts, and 0 matches between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:b274d836f432a706…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[, paste the snippet at the top, then “Commit changes…” and, to review it first, “Create a new branch and start a pull request”. You open the pull request; OSCR asks for no permission.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
