Evidence map›Paper›PMID 29669296›Full record

ArticleDrug and alcohol dependence2018

A Twitter-based survey on marijuana concentrate use.

Raminta Daniulaityte, Mussa Y Zatreh, Francois R Lamy, Ramzi W Nahhas, Silvia S Martins, Amit Sheth, Robert G Carlson

Abstract read
In one paragraph

Article 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 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Effects of Marijuana Use on Smokers Switching to E-Cigarettes in a Randomized Clinical Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Trends and Socio-Demographic Differences of Cannabis Vaping in the USA and Canada.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021
    Article
  13. Article
  14. Article
  15. Gender Norms, Roles and Relations and Cannabis-Use Patterns: A Scoping Review.International journal of environmental research and public health · 2020
    Article
  16. Sex and Gender Interactions on the Use and Impact of Recreational Cannabis.International journal of environmental research and public health · 2020
    Review
  17. Interpol review of controlled substances 2016-2019.Forensic science international. Synergy · 2020
    Review
  18. Article
  19. Review
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.

Raminta DaniulaityteCenter for Interventions, Treatment, and Addictions Research (CITAR), Department of Population and Public Health Sciences, Wright State University Boonshoft School of Medicine, USA; Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Department of Computer Science and Engineering, Wright State University, USA.
Mussa Y ZatrehCenter for Interventions, Treatment, and Addictions Research (CITAR), Department of Population and Public Health Sciences, Wright State University Boonshoft School of Medicine, USA.
Francois R LamyDepartment of Health Social Sciences, Faculty of Social Sciences and Humanities, Mahidol University, Salaya, Thailand.
Ramzi W NahhasDivision of Epidemiology and Biostatistics, Department of Population and Public Health Sciences, Wright State University Boonshoft School of Medicine, USA; Department of Psychiatry, Wright State University Boonshoft School of Medicine, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA.
Amit ShethOhio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Department of Computer Science and Engineering, Wright State University, USA.
Robert G CarlsonCenter for Interventions, Treatment, and Addictions Research (CITAR), Department of Population and Public Health Sciences, Wright State University Boonshoft School of Medicine, USA; Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Department of Computer Science and Engineering, Wright State University, USA. Electronic address: raminta.daniulaityte@wright.edu.

Funding

Modeling Social Behavior for Healthcare Utilization in DepressionR01MH105384 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN, SHETH, AMIT P · 2015 to 2018
$2.1M
Trending: Social media analysis to monitor cannabis and synthetic cannabinoid useR01DA039454 · NIDA · WRIGHT STATE UNIVERSITY · PI DANIULAITYTE, RAMINTA, SHETH, AMIT P · 2014 to 2016
$1.4M
NIDA NIH HHS R01 DA039454NIMH NIH HHS R01 MH105384
6 · The paper itself

Abstract

aimsThe purpose of this paper is to analyze characteristics of marijuana concentrate users, describe patterns and reasons of use, and identify factors associated with daily use of concentrates among U.S.-based cannabis users recruited via a Twitter-based online survey.

methodsAn anonymous Web-based survey was conducted in June 2017 with 687 U.S.-based cannabis users recruited via Twitter-based ads. The survey included questions about state of residence, socio-demographic characteristics, and cannabis use including marijuana concentrates. Multiple logistic regression analyses were conducted to identify characteristics associated with lifetime and daily use of marijuana concentrates.

resultsAlmost 60% of respondents were male, 86% were white, and the mean age was 43.0 years. About 48% reported marijuana concentrate use. After adjusting for multiple testing, significant predictors of concentrate use included: living in "recreational" (AOR = 2.04; adj. p = .042) or "medical, less restrictive" (AOR = 1.74; adj. p = .030) states, being younger (AOR = 0.97, adj. p = .008), and daily herbal cannabis use (AOR = 2.57, adj. p = .008). Out of 329 marijuana concentrate users, about 13% (n = 44) reported daily/near daily use. Significant predictors of daily concentrate use included: living in recreational states (AOR = 3.59, adj. p = .020) and using concentrates for therapeutic purposes (AOR = 4.34, adj. p = .020).

conclusionsLiving in states with more liberal marijuana policies is associated with greater likelihood of marijuana concentrate use and with more frequent use. Characteristics of daily users, in particular, patterns of therapeutic use warrant further research with community-recruited samples.

Indexed as

Surveys and QuestionnairesAdultCannabisFemaleHumansInternetMaleMarijuana SmokingMarijuana UseMedical MarijuanaSocial MediaUnited StatesYoung AdultMedical MarijuanaCannabisCannabis legalizationMarijuana concentratesSocial mediaTwitterWeb survey

Identifiers

PMID29669296
PMCPMC5959780

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.