Evidence map›Paper›PMID 31600618›Full record

ArticleDrug and alcohol dependence2019

Quantitative biochemical screening for marijuana use and concordance with tobacco use in urban adolescents.

Neal Benowitz, Natalie Nardone, Gideon St Helen, Newton Addo, Peyton Jacob, Evangelia Liakoni, Shonul Jain, Shirin Hooshfar, Kara Lynch

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Impact of multiple substance use on circulating ST2, a biomarker of adverse cardiac remodelling, in women.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2022
    Article
  7. Article
  8. Article
  9. Association between Friends' Use of Nicotine and Cannabis and Intake of both Substances among Adolescents.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. 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

9 authors at 2 institutions in 2 countries.

Neal BenowitzClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States; Center for Tobacco Control Research and Education, University of California, University of California, San Francisco, CA United States. Electronic address: Neal.Benowitz@ucsf.edu.
Natalie NardoneClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States.
Gideon St HelenClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States; Center for Tobacco Control Research and Education, University of California, University of California, San Francisco, CA United States.
Newton AddoClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States.
Peyton JacobClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States; Department of Psychiatry, University of California, San Francisco, CA United States.
Evangelia LiakoniClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA United States; Clinical Pharmacology and Toxicology, Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Shonul JainDepartment of Pediatrics, University of California, San Francisco, CA United States.
Shirin HooshfarDepartment of Laboratory Medicine, University of California, San Francisco, CA United States.
Kara LynchDepartment of Laboratory Medicine, University of California, San Francisco, CA United States.
University of California, San Francisco · USUniversity of Bern · CH

Funding

Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON, JONES, REESE T. · 1999 to 2024
$17.1M
Liquid Chromatograph-Triple Quadrupole Mass SpectrometerS10RR026437 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON · 2010 to 2010
$448k
NCRR NIH HHS S10 RR026437NIDA NIH HHS P30 DA012393
6 · The paper itself

Abstract

backgroundAssessing the prevalence and level of exposure (dose) of tobacco and marijuana use is important in studies of harm from use of these substances. We used biochemical analysis of urine to quantitatively assess exposure to nicotine and delta 9-tetrahydrocannabinol (THC) in adolescents receiving medical care in a public hospital

methodsParticipants were 686 adolescents between 12 and 21 years old seen at Zuckerberg San Francisco General Hospital between 2012 and 2014. Urine samples were assayed using high sensitivity liquid chromatographic assays for cotinine, a major metabolite of nicotine, and 11-nor-9-carboxy-delta 9-THC (THC-COOH), a major metabolite of THC. A commonly used immunoassay screen for THC-COOH was also performed.

resultsThe THC-COOH immunoassay substantially underestimated THC exposure, as measured with the high sensitivity assay. THC use was detected in 25% of participants, with higher prevalence with increasing age and in non-Hispanic blacks. Active tobacco smokers had an 80% prevalence of THC use (odds ratio for cigarette smoking predicting THC use 13.2). Urine cotinine and THC-COOH were significantly correlated (r = 0.60).

conclusionsThe use of a high sensitivity chromatographic urine assay provides a much more complete picture of adolescent tobacco use compared to a commonly used immunoassay. The immunoassay provides high specificity but moderate sensitivity. We confirm high concordance of tobacco and marijuana use and the high predictive value of cigarette smoking in predicting marijuana use, and provide novel data on the quantitative correlation between level of exposure to nicotine and THC. Quantitative screening of nicotine and THC exposure may enhance our understanding of addiction and harm from single and dual product use.

Indexed as

Adolescent BehaviorAdolescentChildCigarette SmokingCotinineDronabinolFemaleHumansMaleMarijuana UseNicotineSubstance Abuse DetectionYoung AdultCotinineDronabinolNicotineAdolescentsAnalytical chemistryCannabisMarijuanaNicotineUrine screeningYoung adults

Identifiers

PMID31600618
PMCPMC6893148
OpenAlexW2976101317

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.