Evidence map›Paper›PMID 32577089›Full record

ArticleComputational and mathematical organization theory2019

Global trends, local harms: availability of fentanyl-type drugs on the dark web and accidental overdoses in Ohio.

Usha Lokala, Francois R Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi W Nahhas, Jason I Roden, Shweta Yadav, Robert G Carlson

Open access · greenAbstract read
In one paragraph

Article in Computational and mathematical organization theory, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. The Rise of Fentanyl: Molecular Aspects and Forensic Investigations.International journal of molecular sciences · 2025
    Review
  3. Review
  4. Article
  5. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Interpol review of controlled substances 2016-2019.Forensic science international. Synergy · 2020
    Review
  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

8 authors at 2 institutions in 2 countries.

Usha LokalaDepartment of Computer Science and Engineering, Kno.e.sis Center, Wright State University, Dayton, OH, USA.
Francois R LamyDepartment of Society and Health, Faculty of Social Sciences and Humanities, Mahidol University, Nakhon Pathom, Thailand.ORCID 0000-0001-6542-1381
Raminta DaniulaityteDepartment of Computer Science and Engineering, Kno.e.sis Center, Wright State University, Dayton, OH, USA.
Amit ShethDepartment of Computer Science and Engineering, Kno.e.sis Center, Wright State University, Dayton, OH, USA.
Ramzi W NahhasDepartment of Population and Public Health Sciences, Department of Psychiatry, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.
Jason I RodenDepartment of Population and Public Health Sciences, Center for Interventions, Treatment, and Addictions Research, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.
Shweta YadavDepartment of Computer Science and Engineering, Kno.e.sis Center, Wright State University, Dayton, OH, USA.
Robert G CarlsonDepartment of Computer Science and Engineering, Kno.e.sis Center, Wright State University, Dayton, OH, USA.
Wright State University · USMahidol University · TH

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

As America's opioid crisis has become an "epidemic of epidemics," Ohio has been identified as one of the high burden states regarding fentanyl-related overdose mortality. This study aims to examine changes in the availability of fentanyl, fentanyl analogs, and other non-pharmaceutical opioids on cryptomarkets and assess relationship with the trends in unintentional overdoses in Ohio to provide timely information for epidemiologic surveillance. Cryptomarket data were collected at two distinct periods of time: (1) Agora data covered June 2014-September 2015 and were obtained from Grams archive; (2) Dream Market data from March-April 2018 were extracted using a dedicated crawler. A Named Entity Recognition algorithm was developed to identify and categorize the type of fentanyl and other synthetic opioids advertised on cryptomarkets. Time-lagged correlations were used to assess the relationship between the fentanyl, fentanyl analog and other synthetic opioid-related ads from cryptomarkets and overdose data from the Cincinnati Fire Department Emergency Responses and Montgomery County Coroner's Office. Analysis from the cryptomarket data reveals increases in fentanyl-like drugs and changes in the types of fentanyl analogues and other synthetic opioids advertised in 2015 and 2018 with potent substances like carfentanil available during the second period. The time-lagged correlation was the largest when comparing Agora data to Cincinnati Emergency Responses 1 month later 0.84 (95% CI 0.45, 0.96). The time-lagged correlation between Agora data and Montgomery County drug overdoses was the largest when comparing synthetic opioid-related Agora ads to Montgomery County overdose deaths 7 months later 0.78 (95% CI 0.47, 0.92). Further investigations are required to establish the relationship between cryptomarket availability and unintentional overdose trends related to specific fentanyl analogs and/or other illicit synthetic opioids.

Indexed as

CryptomarketsFentanylFentanyl analogsIllicit synthetic opioidsOhioOpioid overdose

Identifiers

PMID32577089
PMCPMC7311101
OpenAlexW2898232291

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.