Evidence map›Paper›PMID 39501796›Full record

ArticleAddiction (Abingdon, England)2025

Quantity of delta-9-tetrahydrocannabinol consumption and cannabis use disorder among daily cannabis consumers.

Jacob T Borodovsky, Deborah S Hasin, Melanie Wall, Cara A Struble, Mohammad I Habib, Ofir Livne, Jun Liu, Lynn Chen, Efrat Aharonovich, Alan J Budney

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

10 authors.

Jacob T BorodovskyCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.ORCID https://orcid.org/0000-0001-7112-5677
Deborah S HasinDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-6533-7021
Melanie WallDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Cara A StrubleCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Mohammad I HabibCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Ofir LivneDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.ORCID https://orcid.org/0000-0001-6673-0231
Jun LiuNew York State Psychiatric Institute, New York, NY, USA.
Lynn ChenNew York State Psychiatric Institute, New York, NY, USA.
Efrat AharonovichDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Alan J BudneyCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.

Funding

Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
Leveraging Social Media to Develop the Cannabis Exposure Index (CEI), A Standardized Measure of Cannabis UseR01DA050032 · NIDA · DARTMOUTH COLLEGE · PI Jacob T Borodovsky, DEBORAH S HASIN · 2020 to 2026
$3.8M
Cannabis use patterns and associations with cognitive impairment in older adultsK23DA057417 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Ofir Livne · 2023 to 2026
$586k
NIDA NIH HHS K23 DA057417NIDA NIH HHS P30DA037202NIDA NIH HHS R01 DA050032NIDA NIH HHS R01DA050032NIDA NIH HHS T32DA037202
6 · The paper itself

Abstract

BACKGROUND AND

aimsAmid escalating cannabis legalization and daily consumption in the United States (US), determining the risk of cannabis use disorder (CUD) and relevant consequences among daily consumers has become a public health priority. Understanding these risks requires valid assessment of the daily quantity of delta-9-tetrahydrocannabinol (THC) consumed and its relation to consequences. This study characterized daily cannabis consumption using a new method for estimating milligrams of THC (mgTHC), and examined the relationship between daily mgTHC and CUD severity in a large national sample of daily consumers. DESIGN, SETTING AND

participantsUS adult (aged 18+ years) daily cannabis consumers (n = 4134) completed a comprehensive online survey of cannabis consumption patterns (e.g. frequency, quantity, product types, potencies, administration methods) and Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) CUD criteria. MEASUREMENTS: The primary exposure was past-week daily mgTHC consumption, calculated from survey responses to queries about product type, amount and potency consumed and including adjustments for puff size and loss of THC from specific methods of administration. The primary outcomes were (1) number of CUD criteria (range = 0-11) and (2) CUD severity categories: none, mild, moderate, severe.

findingsMedian daily consumption was ~130 mgTHC, with substantial variability (25% ≤ 50 mg and 25% ≥ 290 mg). On average, participants endorsed 2.5 CUD criteria, and 65% met criteria for CUD (39% mild, 18% moderate, 8% severe). Greater daily mgTHC predicted higher CUD criteria count [beta

conclusionsAmong daily consumers of cannabis, there appears to be a positive relationship between the daily quantity of cannabis consumed (measured in milligrams of delta-9-tetrahydrocannabinol) and both the risk and severity of cannabis use disorder.

Indexed as

DronabinolMarijuana AbuseAdolescentAdultFemaleHumansMaleMiddle AgedUnited StatesYoung AdultDronabinolCannabis use disorderepidemiologymeasurementmilligramsquantitysurveytetrahydrocannabinol

Identifiers

PMID39501796
PMCPMC12931551

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.