Evidence map›Paper›PMID 42029003›Full record

ArticleAddiction (Abingdon, England)2026

Characterizing public comments via Regulations.gov in response to proposed cannabis rescheduling in the United States.

Vijay M Tiyyala, Cerina Dubois, Clarissa Madar, Ryan Vandrey, Johannes Thrul, Mark Dredze, John W Ayers

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Vijay M TiyyalaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Cerina DuboisDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-6465-8686
Clarissa MadarDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Ryan VandreyDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-6657-884X
Johannes ThrulDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-8929-9579
Mark DredzeDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-0422-2474
John W AyersAltman Clinical Translational Research Institute, University of California San Diego, La Jolla, CA, USA.ORCID https://orcid.org/0000-0002-8831-8691

Funding

CTSA UM1 Program at University of California San Diego Altman Clinical and Translational Research InstituteUM1TR005449 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael A Hogarth, David Mitchell Smith · 2025 to 2026
$20.6M
Development of a Longitudinal Observational Research Registry for the Study of Medicinal Cannabis Use and HealthUM1DA059000 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Johannes Thrul, RYAN G VANDREY · 2023 to 2026
$8.1M
Burroughs Wellcome Fund for Innovations in Regulatory ScienceNational Institutes of Health (NIH)/National Institute on Drug Abuse (NIDA) UM1 DA059000NCATS NIH HHS UM1 TR005449NCATS NIH HHS UM1TR005449NIDA NIH HHS UM1 DA059000
6 · The paper itself

Abstract

aimsThe United States Drug Enforcement Administration's (DEA) proposed rescheduling of cannabis from Schedule I to Schedule III under the Controlled Substances Act marks a significant shift in federal policy. Understanding public sentiment toward this policy is critical for guiding the current cannabis rescheduling effort as well as future reforms. The objective of this study is to characterize public comments submitted to Regulations.gov regarding the DEA's cannabis rescheduling proposal and identify underlying justifications for support or opposition.

designA mixed-methods analysis was conducted.

settingOnline public comments submitted to Regulations.gov regarding the DEA's cannabis rescheduling proposal.

participants42 913 public comments submitted between 21 May and 22 July 2024. MEASUREMENTS: Comments were analyzed for sentiment towards the proposed rescheduling (support, oppose or insufficient rescheduling) and thematic justifications using manual and automated natural language processing techniques. A two-stage annotation approach was employed: manual coding of 200 randomly sampled comments by multiple independent evaluators, followed by automated classification of all 42 913 comments using open source Large Language Model (LLM) validated against the manual annotations.

findingsUsing LLM-based classification validated against human annotations [88% agreement, F1 (harmonic mean of precision and recall) = 0.86], we found that among 42 913 comments, 28.85% [95% confidence interval (CI) = 28.44%-29.24%] supported rescheduling, 6.74% (95% CI = 6.50%-6.99%) opposed and 63.50% (95% CI = 63.06%-63.99%) deemed the proposal insufficient, favoring further rescheduling or complete de-scheduling of cannabis. Among the 200 manually annotated comments, therapeutic benefits (56.7%, 95% CI = 46.7%-66.7%) and economic impacts (27.8%, 95% CI = 18.9%-37.8%) were the most common justifications among supporters. Public health risks (100.0%, 95% CI = 100.0%-100.0%), addictiveness concerns (71.4%, 95% CI = 42.9%-100.0%) and concerns about underage use (57.1%, 95% CI = 14.3%-85.7%) were predominant in opposing comments. Insufficient rescheduling comments cited therapeutic benefits (37.8%, 95% CI = 28.5%-48.0%), economic impacts (28.6%, 95% CI = 19.4%-37.8%) and criminal justice reform (26.5%, 95% CI = 18.4%-35.7%) as primary justifications.

conclusionsPublic sentiment on Regulations.gov supports the United States Drug Enforcement Administration's proposal for cannabis rescheduling, though the majority views the proposed Schedule III classification as inadequate and supports further rescheduling or complete de-scheduling of cannabis.

Indexed as

CannabisDrug and Narcotic ControlPublic OpinionHumansUnited Statesartificial intelligencecannabis regulationdrug schedulinge‐rulemakingnatural language processingpublic health policy

Identifiers

PMID42029003
PMCPMC13486909

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.