Evidence map›Paper›PMID 29112827›Full record

Trial reportDrug and alcohol dependence2018

Incremental validity of estimated cannabis grams as a predictor of problems and cannabinoid biomarkers: Evidence from a clinical trial.

Rachel L Tomko, Nathaniel L Baker, Erin A McClure, Susan C Sonne, Aimee L McRae-Clark, Brian J Sherman, Kevin M Gray

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

32 citing papers in PubMed, 43 citations in OpenAlex.

  1. N-acetylcysteine for youth cannabis use disorder: randomized controlled trial main findings.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Trial
  2. Trial
  3. Characterizing cannabis use reduction and change in functioning during treatment: Initial steps on the path to new clinical endpoints.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  4. Evaluating cannabis use risk reduction as an alternative clinical outcome for cannabis use disorder.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Assessing Cannabis Use in People with Psychosis.Cannabis and cannabinoid research · 2024
    Review
  14. Article
  15. Article
  16. Measuring cannabis quantities in online surveys: A rapid review and proposals for ways forward.International journal of methods in psychiatric research · 2023
    Review
  17. Article
  18. Differentiating people who use cannabis heavily through latent class analysis.Substance abuse treatment, prevention, and policy · 2023
    Article
  19. Observational
  20. 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 at 1 institution in 1 country.

Rachel L TomkoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States. Electronic address: tomko@musc.edu.
Nathaniel L BakerDepartment of Public Health Sciences, Medical University of South Carolina, United States.
Erin A McClureDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Susan C SonneDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Aimee L McRae-ClarkDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Brian J ShermanDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Kevin M GrayDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Medical University of South Carolina · US

Funding

The National Drug Abuse Treatment Clinical Trials NetworkUG1DA015831 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Roger D. Weiss · 2015 to 2026
$110.8M
Project-004UG1DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI Steven J Shoptaw, MADHUKAR H. TRIVEDI · 2015 to 2026
$71.6M
The National Drug Abuse Treatment Clinical Trials NetworkU10DA013045 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LING, WALTER NMN · 1999 to 2015
$52.6M
Southern Consortium Node of the Clinical Trials Network (Varenicline)UG1DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KATHLEEN T. BRADY, Kelly S. Barth · 2015 to 2026
$24.8M
Concept ProjectU10DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2005 to 2015
$22.6M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
DRUG ABUSE TRAINING PROGRAMT32DA007288 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Christopher W Cowan, Rachel Penrod-Martin · 1991 to 2026
$11.8M
TRAINING IN ALCOHOL TREATMENT RESEARCHT32AA007474 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI John J. Woodward · 1987 to 2026
$8.5M
Clinical Scientists Training Program in Addictions at MUSCK12DA031794 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Kevin M. Gray, AIMEE L MCRAE-CLARK · 2013 to 2026
$7.2M
MID-CAREER AWARD IN PATIENT-ORIENTED DRUG ABUSE RESEARCHK24DA038240 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCRAE-CLARK, AIMEE L · 2014 to 2023
$1.9M
Technological Innovations for the Remote Monitoring of Smoking in AdolescentsK01DA036739 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2014 to 2018
$771k
NIAAA NIH HHS T32 AA007474NIDA NIH HHS HHSN271201200017CNIDA NIH HHS K01 DA036739NIDA NIH HHS K12 DA031794NIDA NIH HHS K24 DA038240NIDA NIH HHS T32 DA007288NIDA NIH HHS U10 DA013045NIDA NIH HHS U10 DA020024NIDA NIH HHS UG1 DA013714NIDA NIH HHS UG1 DA013727NIDA NIH HHS UG1 DA015831NIDA NIH HHS UG1 DA020024
6 · The paper itself

Abstract

backgroundQuantifying cannabis use is complex due to a lack of a standardized packaging system that contains specified amounts of constituents. A laboratory procedure has been developed for estimating physical quantity of cannabis use by utilizing a surrogate substance to represent cannabis, and weighing the amount of the surrogate to determine typical use in grams.

methodThis secondary analysis utilized data from a multi-site, randomized, controlled pharmacological trial for adult cannabis use disorder (N=300), sponsored by the National Drug Abuse Treatment Clinical Trials Network, to test the incremental validity of this procedure. In conjunction with the Timeline Followback, this physical scale-based procedure was used to determine whether average grams per cannabis administration predicted urine cannabinoid levels (11-nor-9-carboxy-Δ9-tetrahydrocannabinol) and problems due to use, after accounting for self-reported number of days used (in the past 30 days) and number of administrations per day in a 12-week clinical trial for cannabis use disorder.

resultsLikelihood ratio tests suggest that model fit was significantly improved when grams per administration and relevant interactions were included in the model predicting urine cannabinoid level (X

conclusionsThis study provides support for the use of a scale-based method for quantifying cannabis use in grams. This methodology may be useful when precise quantification is necessary (e.g., measuring reduction in use in a clinical trial).

Indexed as

AdolescentAdultBiomarkersCannabinoidsCannabisDronabinolFemaleHumansMaleMarijuana AbuseMarijuana SmokingMiddle AgedPredictive Value of TestsReproducibility of ResultsSelf ReportYoung AdultBiomarkersCannabinoidsDronabinolCannabisMarijuanaQuantitative cannabinoid levelTimeline Followback

Identifiers

PMID29112827
PMCPMC5742553
OpenAlexW2766450508

What OpenQuestion holds

Textmetadata
LicenceTDM
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.