Literature DB >> 28921578

The "Darknet": The new street for street drugs.

J V Pergolizzi1, J A LeQuang1, R Taylor1, R B Raffa2,3.   

Abstract

WHAT IS KNOWN AND
OBJECTIVE: The "Darknet" ("dark web") has emerged as a means by which illegal drug buys and deliveries can be arranged with apparent anonymity and impunity. Healthcare providers should be aware of this growing source of illicit drugs. COMMENT: The "Darknet" refers to networks isolated from the Internet that cannot be accessed via conventional search engines. They require special software that is protected by special encryption. The initial legitimate use of a "Darknet" to conceal personal information against misuse or political reprisal is being exploited to conceal the identity of buyers and sellers in illegal drug transactions. Instructions on how to obtain access to the "Darknet" are readily available on conventional Internet web pages. WHAT IS NEW AND
CONCLUSION: The "Darknet" has changed the paradigm of illegal drug importation and distribution by providing a difficult-to-trace transaction, and delivery via legitimate couriers directly to the home.
© 2017 John Wiley & Sons Ltd.

Keywords:  Darknet; Internet drugs; Silk Road; dark web

Mesh:

Substances:

Year:  2017        PMID: 28921578     DOI: 10.1111/jcpt.12628

Source DB:  PubMed          Journal:  J Clin Pharm Ther        ISSN: 0269-4727            Impact factor:   2.512


  4 in total

1.  A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

Authors:  Jiawei Li; Qing Xu; Neal Shah; Tim K Mackey
Journal:  J Med Internet Res       Date:  2019-06-15       Impact factor: 5.428

2.  Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts.

Authors:  Zhengyi Li; Xiangyu Du; Xiaojing Liao; Xiaoqian Jiang; Tiffany Champagne-Langabeer
Journal:  J Med Internet Res       Date:  2021-02-17       Impact factor: 5.428

3.  Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access.

Authors:  Tim Mackey; Janani Kalyanam; Josh Klugman; Ella Kuzmenko; Rashmi Gupta
Journal:  J Med Internet Res       Date:  2018-04-27       Impact factor: 5.428

4.  Opioids and the Internet: Convergence of Technology and Policy to Address the Illicit Online Sales of Opioids.

Authors:  Tim K Mackey
Journal:  Health Serv Insights       Date:  2018-09-14
  4 in total

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