Evidence map›Paper›PMID 28578250›Full record

ArticleThe International journal on drug policy2017

Increases in synthetic cannabinoids-related harms: Results from a longitudinal web-based content analysis.

Francois R Lamy, Raminta Daniulaityte, Ramzi W Nahhas, Monica J Barratt, Alan G Smith, Amit Sheth, Silvia S Martins, Edward W Boyer, Robert G Carlson

Open access · greenAbstract read
In one paragraph

Article in The International journal on drug policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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 4 institutions in 2 countries.

Francois R LamyCenter for Interventions, Treatment, and Addictions Research, Department of Population and Public Health Sciences, Wright State University, Dayton, OH, United States; Ohio Center of Excellence in Knowledge-enabled Computing, Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States. Electronic address: francois.lamy@wright.edu.
Raminta DaniulaityteCenter for Interventions, Treatment, and Addictions Research, Department of Population and Public Health Sciences, Wright State University, Dayton, OH, United States; Ohio Center of Excellence in Knowledge-enabled Computing, Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Ramzi W NahhasDepartment of Population and Public Health Sciences, Wright State University, Dayton, OH, United States; Department of Psychiatry, Wright State University, Dayton, OH, United States.
Monica J BarrattDrug Policy Modelling Program, National Drug and Alcohol Research Centre, UNSW Australia; National Drug Research Institute, Faculty of Health Sciences, Curtin University, Australia; Centre of Population Health, Burnet Institute, Australia.
Alan G SmithOhio Center of Excellence in Knowledge-enabled Computing, Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Amit ShethOhio Center of Excellence in Knowledge-enabled Computing, Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Silvia S MartinsDepartment of Epidemiology, Columbia University, New York, NY, United States.
Edward W BoyerBrigham and Women's Hospital, Harvard Medical School, MA, United States.
Robert G CarlsonCenter for Interventions, Treatment, and Addictions Research, Department of Population and Public Health Sciences, Wright State University, Dayton, OH, United States; Ohio Center of Excellence in Knowledge-enabled Computing, Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Wright State University · USBrigham and Women's Hospital · USBurnet Institute · AUColumbia University · US

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

backgroundSynthetic Cannabinoid Receptor Agonists (SCRA), also known as "K2" or "Spice," have drawn considerable attention due to their potential of abuse and harmful consequences. More research is needed to understand user experiences of SCRA-related effects. We use semi-automated information processing techniques through eDrugTrends platform to examine SCRA-related effects and their variations through a longitudinal content analysis of web-forum data.

methodEnglish language posts from three drug-focused web-forums were extracted and analyzed between January 1st 2008 and September 30th 2015. Search terms are based on the Drug Use Ontology (DAO) created for this study (189 SCRA-related and 501 effect-related terms). EDrugTrends NLP-based text processing tools were used to extract posts mentioning SCRA and their effects. Generalized linear regression was used to fit restricted cubic spline functions of time to test whether the proportion of drug-related posts that mention SCRA (and no other drug) and the proportion of these "SCRA-only" posts that mention SCRA effects have changed over time, with an adjustment for multiple testing.

results19,052 SCRA-related posts (Bluelight (n=2782), Forum A (n=3882), and Forum B (n=12,388)) posted by 2543 international users were extracted. The most frequently mentioned effects were "getting high" (44.0%), "hallucinations" (10.8%), and "anxiety" (10.2%). The frequency of SCRA-only posts declined steadily over the study period. The proportions of SCRA-only posts mentioning positive effects (e.g., "High" and "Euphoria") steadily decreased, while the proportions of SCRA-only posts mentioning negative effects (e.g., "Anxiety," 'Nausea," "Overdose") increased over the same period.

conclusionThis study's findings indicate that the proportion of negative effects mentioned in web forum posts and linked to SCRA has increased over time, suggesting that recent generations of SCRA generate more harms. This is also one of the first studies to conduct automated content analysis of web forum data related to illicit drug use.

Indexed as

CannabinoidsHumansInternetLongitudinal StudiesCannabinoidsDrug use ontologyNLP text processingSemantic webSynthetic cannabinoidsWeb-forums

Identifiers

PMID28578250
PMCPMC5545681
OpenAlexW2620847194

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.