Evidence map›Paper›PMID 32585419›Full record

ArticleDrug and alcohol dependence2020

Listed for sale: Analyzing data on fentanyl, fentanyl analogs and other novel synthetic opioids on one cryptomarket.

Francois R Lamy, Raminta Daniulaityte, Monica J Barratt, Usha Lokala, Amit Sheth, Robert G Carlson

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Evolving Regulatory Landscape for Fentanyl: China, India, and Global Drug Governance.International journal of environmental research and public health · 2022
    Article
  8. Review
  9. 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

6 authors.

Francois R LamyDepartment of Society and Health, Faculty of Social Sciences and Humanities, Mahidol University, Salaya, Thailand. Electronic address: francois.lam@mahidol.edu.
Raminta DaniulaityteCollege of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Monica J BarrattSocial and Global Studies Centre, RMIT University, Melbourne, VIC, Australia; National Drug and Alcohol Research Centre, UNSW Sydney, NSW, Australia.
Usha LokalaKno.e.sis Center, Department of Computer Science, Wright State University, Dayton, OH, United States.
Amit ShethArtificial Intelligence Center, University of South Carolina, Columbia, SC, 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.

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
eDarkTrends: monitoring cryptomarkets to identify emerging trends of illicit synthetic opioids useR21DA044518 · NIDA · WRIGHT STATE UNIVERSITY · PI DANIULAITYTE, RAMINTA, LAMY, FRANCOIS RENE · 2017 to 2018
$408k
NIDA NIH HHS R21 DA044518NIMH NIH HHS R01 MH105384
6 · The paper itself

Abstract

backgroundThe United States is facing a "triple wave" epidemic fueled by novel synthetic opioids. Cryptomarkets, anonymous marketplaces located on the deep web, play an increasingly important role in the distribution of illicit substances. This article presents the data collected and processed by the eDarkTrends platform concerning the availability trends of novel synthetic opioids listed on one cryptomarket.

methodsListings from the DreamMarket cryptomarket "Opioids" and "Research Chemicals" sections were collected between March 2018 and January 2019. Collected data were processed using eDarkTrends Named Entity Recognition algorithm to identify opioid drugs, and to analyze their availability trends in terms of frequency of listings, available average weights, average prices, and geographic indicators of shipment origin and destination information.

results95,011 opioid-related listings were collected through 26 crawling sessions. 33 novel synthetic opioids were identified in 3.3 % of the collected listings. 44.7 % of these listings advertised fentanyl (pharmaceutical and non-pharmaceutical) or fentanyl analogs for an average of 2.8 kgs per crawl. "Synthetic heroin" accounted for 33.2 % of novel synthetic opioid listings for an average 1.1 kgs per crawl with 97.7 % of listings advertised as shipped from Canada. Other novel synthetic opioids (e.g., U-47,700, AP-237) represented 22 % of these listings for an average of 6.1 kgs per crawl with 97.2 % of listings advertised as shipped from China.

conclusionsOur data indicate consistent availability of a wide variety of novel synthetic opioids both in retail and wholesale-level amounts. Identification of new substances highlights the value of cryptomarket data for early warning systems of emerging substance use trends.

Indexed as

CryptomarketsDarknet marketsFentanylFentanyl analogsSynthetic opioids

Identifiers

PMID32585419
PMCPMC7736148

What OpenQuestion holds

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Registered trials

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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.