Evidence map›Paper›PMID 30665602›Full record

Trial reportJournal of substance abuse treatment2019

Sequential and simultaneous treatment approaches to cannabis use disorder and tobacco use.

Dustin C Lee, Denise D Walker, John R Hughes, Mary F Brunette, Emily Scherer, Catherine Stanger, Jean-Francois Etter, Samantha Auty, Alan J Budney

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of substance abuse treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Dustin C LeeDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, United States of America.
Denise D WalkerInnovative Programs Research Group, University of Washington, United States of America.
John R HughesDepartments of Psychiatry and Psychological Science, University of Vermont, United States of America.
Mary F BrunetteCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, United States of America.
Emily SchererCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, United States of America.
Catherine StangerCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, United States of America.
Jean-Francois EtterInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Geneva, Switzerland.
Samantha AutyCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, United States of America.
Alan J BudneyCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, United States of America. Electronic address: Alan.j.budney@dartmouth.edu.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
Integrated Care for Addiction, HIV and HCV Research and Education (ICAHRE)T32DA041898 · NIDA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rachel Sayko Adams, Michael D Stein · 2017 to 2026
$3.8M
Targeting tobacco cessation during treatment for cannabis use disordersR01DA032243 · NIDA · DARTMOUTH COLLEGE · PI BUDNEY, ALAN JEFFREY · 2012 to 2015
$1.7M
NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA032243NIDA NIH HHS T32 DA037202NIDA NIH HHS T32 DA041898
6 · The paper itself

Abstract

Tobacco smoking among those seeking treatment for cannabis use disorder (CUD) is common and is a negative predictor of cannabis outcomes. Quitting tobacco may be beneficial for those seeking to quit cannabis use. This initial proof of concept, controlled trial was designed to compare a simultaneous versus sequential tobacco intervention among those seeking treatment for CUD. Sixty-seven adults received either a simultaneous (SIM) or sequential (SEQ) approach to tobacco cessation in the context of outpatient treatment for CUD. A tobacco intervention (TI) that combined web-based counseling with nicotine replacement therapy (NRT) was provided during weeks 1-12 for SIM and was delayed until weeks 13-24 for SEQ. During weeks 1-12, no between-condition significant differences were observed on treatment participation or cannabis use outcomes. The majority of SIM participants initiated TI counseling (62%), 50% made at least one quit attempt and 41% initiated NRT. Interestingly, 39% in SEQ made tobacco quit attempts and 18% initiated NRT on their own before the TI was offered to them. However, only 30% of those in SEQ continued treatment during weeks 13-24, which compromised between-condition comparisons following the TI, but illustrated a potential clinical concern with delaying the TI. Tobacco cessation outcomes generally were poor and did not differ between conditions. This initial controlled trial suggests that addressing tobacco use during CUD treatment is acceptable and generates action towards tobacco cessation. Additional trials testing more intensive TI models may be necessary to identify more efficacious interventions for co-use of cannabis and tobacco.

Indexed as

Outcome and Process Assessment, Health CareAdultFemaleHumansMaleMarijuana AbuseMiddle AgedPsychotherapySmoking Cessation

Identifiers

PMID30665602
PMCPMC6366318

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.