Evidence map›Paper›PMID 41406668›Full record

ArticleDrug and alcohol dependence2026

Enhancing data compatibility in an evolving landscape: Medical cannabis and polysubstance use protocols in the PhenX Toolkit.

Anne Buu, Johannes Thrul, Amanda Bunting, Tamara Haegerich, Wayne Huggins, Christian Hopfer, Denise Vidot, Cataia Ives, Ryan McNeil, Sarah Zemore and 5 more

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Anne BuuUniversity of Texas Health Science Center at Houston, Houston, TX, USA. Electronic address: yuh-pey.a.buu@uth.tmc.edu.
Johannes ThrulJohns Hopkins University, Baltimore, MD, USA. Electronic address: jthrul@jhu.edu.
Amanda BuntingNew York University, Langone Health, New York, NY, USA. Electronic address: amanda.bunting@nyulangone.org.
Tamara HaegerichAmerican Association of Nurse Anesthetists Foundation, IL, USA. Electronic address: thaegerich@aana.com.
Wayne HugginsRTI International, Durham, NC, USA. Electronic address: whuggins@rti.org.
Christian HopferUniversity of Colorado Denver, Aurora, CO, USA.
Denise VidotUniversity of Miami, Coral Gables, FL, USA. Electronic address: dvidot@med.miami.edu.
Cataia IvesRTI International, Durham, NC, USA. Electronic address: cives@rti.org.
Ryan McNeilYale University, New Haven, CT, USA. Electronic address: ryan.mcneil@yale.edu.
Sarah ZemoreAlcohol Research Group, Emeryville, CA, USA. Electronic address: szemore@arg.org.
Corrie VilsaintMGH Recovery Research Institute, Boston, MA, USA. Electronic address: corrie@drvilsaint.com.
Elizabeth FallonRTI International, Durham, NC, USA. Electronic address: eli.k.fallon@gmail.com.
Christine HillRTI International, Durham, NC, USA. Electronic address: christian.hopfer@cuanschutz.edu.
Carol HamiltonRTI International, Durham, NC, USA. Electronic address: chamilton@rti.org.
John KellyHarvard Medical School, Boston, MA, USA. Electronic address: jkelly11@mgh.harvard.edu.

Funding

The Effects of Cannabinoids and Route of Cannabis Administration on Subclinical Cardiovascular Disease RiskR01HL153467 · NHLBI · UNIVERSITY OF MIAMI CORAL GABLES · PI VIDOT, DENISE CHRISTINA · 2020 to 2023
$2.9M
Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
NHLBI NIH HHS R01 HL153467NIDA NIH HHS R01 DA049154
6 · The paper itself

Abstract

introductionWith increasing legalization of medical cannabis and prevalence of polysubstance use in the United States comes the need for standard psychometrically validated measures to study these substances' health effects in the population. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (www.phenxtoolkit.org) is a freely accessible catalog of recommended measurement protocols to promote data compatibility across studies, but this extensive catalog did not include measures in these important areas.

methodsIn 2024, a PhenX Working Group of experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in studies on medical cannabis and polysubstance use. The broader scientific community was invited to review and provide feedback that was considered in the process of finalizing recommendations.

resultsIn 2025, the PhenX Toolkit released 15 new medical cannabis and polysubstance use protocols, which assess medical and other cannabis use-including consumption levels, product types, sources, motives, expectancies, medical card status, provider-patient communication, and biochemical validation-as well as polysubstance use patterns and related overdose risk. These protocols complement existing substance-related content in PhenX Toolkit and facilitate future development of knowledge on health effects of cannabis and polysubstance use and clinical guidance on safety or dosing for medical cannabis.

conclusionResearchers are encouraged to adopt these measurement protocols, so results across studies can be better compared and combined to efficiently and reliably evaluate the health effects of medical cannabis and polysubstance use. Measures in these domains will continue to be updated as new knowledge is gained.

Indexed as

Medical MarijuanaSubstance-Related DisordersHumansUnited StatesMedical MarijuanaMarijuanaMedical cannabisPhenX ToolkitPolysubstanceStandard measurements

Identifiers

PMID41406668
PMCPMC13428339

What OpenQuestion holds

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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.