Association of Drugs for Sale on the Internet and Official Health Indicators: Darknet Parsing and Correlational Study (Preprint) DOI Creative Commons
Sergey Soshnikov,

Svetlana Kryuchkova,

Bulat Idrisov

et al.

JMIR Formative Research, Journal Year: 2024, Volume and Issue: 8, P. e56006 - e56006

Published: Sept. 24, 2024

Background Studying illicit drug circulation and its effects on population health is complicated due to the criminalization of trade consumption. Illicit markets have evolved with IT, moving digital “darknet.” Previous research has analyzed darknet market listings customer reviews. Research tools include public surveys medical reports but lack neutral data drugs' spread impact. This study fills this gap an analysis volume drugs traded market. Objective We aimed use dark web officially published indicators identify most vulnerable regions Russia correlations between pairs variables measure how can affect well-being. Methods web-parsed Hydra marketplace using Python code. The dataset encompassed 3045 individual sellers marketing 6721 unique products via 58,563 distinct postings, each representing specific quantities sold in different Russian during 2019. In second stage, we collected 31 from official sources compare about amounts types selling every 85 Russia. health-related were obtained sources—statistical yearbooks. Maps, diagrams, correlation matrixes, applied observational statistical methods used. Results 2019, a minimum 124 kilograms circulated daily small batches darknet. Cannabis dominated market, being 10 times more prevalent than opiates, cannabis products' higher availability region correlated lower incidence opiate overdoses. “grams opiates region” variable significantly overdose deaths (r=.41; P=.003), HIV-positive cases (r=.51; P=.002), court convictions (r=.39; P=.004). identified significant sales rates HIV among injection users (r=.47; P=.003). Conversely, exhibited negative harmful (r=–.52; P=.002) prevalence (r=–.49; P=.001). These findings suggest regional variations may be associated differing outcomes. accurately reflect issues, though some statistics incomplete or biased. Conclusions Our point varying levels risk darknet, further needed explore these relationships greater depth. study's highlight importance considering when developing strategies. that region-specific interventions could effective addressing diverse challenges posed by use.

Language: Английский

Scraping and Analyzing Data of a Large Darknet Marketplace DOI Open Access
York Yannikos,

Julian Heeger,

Martin Steinebach

et al.

Journal of Cyber Security and Mobility, Journal Year: 2023, Volume and Issue: unknown

Published: May 3, 2023

Darknet marketplaces in the Tor network are popular places to anonymously buy and sell various kinds of illegal goods. Previous research on ranged from analyses type, availability quality goods methods for identifying users. Although many darknet exist, their lifespan is usually short, especially very that focus law enforcement agencies. We built a data acquisition architecture collect White House Market, one largest 2021. In this paper we describe our problems had solve, present findings analysis collected data.

Language: Английский

Citations

3

Closer Look at Illicit Drug Availability and Public Health in Regions: Combining the Darknet Drugs Data and Official Health-Related Indicators. (Preprint) DOI
Sergey Soshnikov,

Svetlana Kryuchkova,

Bulat Idrisov

et al.

Published: Jan. 8, 2024

BACKGROUND Studying illicit drug circulation and its effects on population health is complicated due to criminal nature. Illegal markets have evolved with technology, moving online the “darknet.” Previous research has analyzed darknet market listings customer reviews. Research tools include public surveys medical reports but lack neutral data drugs' spread impact. This study fills this gap by analyzing amount of drugs traded market. OBJECTIVE study's main objective bridge Public Health investigation illegal By scale nature availability, frequency offers, regional distribution activities a Hydra market, we aim link these findings official indicators use disorders. METHODS We web-parsed Darknet narcotics marketplace using Python code. The set encompassed 3045 individual sellers marketing 6721 unique products via 58563 distinct postings, each representing specific quantities sold in different Russian regions—data extraction dates: August-December 2019. In second stage, collected 31 variables from sources (Ministry Health, Police reports, etc.) make comparisons check how relate about amounts types selling every 85 regions (oblast). were obtained (statistical materials). Maps, diagrams, correlation matrixes, applied observational statistical methods used. RESULTS 2019, Russia's circulated minimum 124 kilograms daily small batches, notable decrease during COVID-19. Cannabis significantly dominated being ten times more prevalent than opiates, cannabis products' higher availability region linked reduced opiate overdoses. High HIV rates among users are opiates region. Regional consumption varied, influenced socioeconomic cultural factors. For example, while marijuana constituted 20- 30% total consumption, Krasnodar showed unusually high (22.50 grams per 100,000). Urban areas reported rural, anomalies like Karelia Chukotka indicating local influences. CONCLUSIONS underscores importance region-specific approach policy Russia. Policymakers should consider contexts region, including drugs, factors, attitudes toward use. While nationwide policies can provide broad framework for combating related associated harms, strategies critical effectively addressing realities. CLINICALTRIAL None declare

Language: Английский

Citations

0

Association of Drugs for Sale on the Internet and Official Health Indicators: Darknet Parsing and Correlational Study (Preprint) DOI Creative Commons
Sergey Soshnikov,

Svetlana Kryuchkova,

Bulat Idrisov

et al.

JMIR Formative Research, Journal Year: 2024, Volume and Issue: 8, P. e56006 - e56006

Published: Sept. 24, 2024

Background Studying illicit drug circulation and its effects on population health is complicated due to the criminalization of trade consumption. Illicit markets have evolved with IT, moving digital “darknet.” Previous research has analyzed darknet market listings customer reviews. Research tools include public surveys medical reports but lack neutral data drugs' spread impact. This study fills this gap an analysis volume drugs traded market. Objective We aimed use dark web officially published indicators identify most vulnerable regions Russia correlations between pairs variables measure how can affect well-being. Methods web-parsed Hydra marketplace using Python code. The dataset encompassed 3045 individual sellers marketing 6721 unique products via 58,563 distinct postings, each representing specific quantities sold in different Russian during 2019. In second stage, we collected 31 from official sources compare about amounts types selling every 85 Russia. health-related were obtained sources—statistical yearbooks. Maps, diagrams, correlation matrixes, applied observational statistical methods used. Results 2019, a minimum 124 kilograms circulated daily small batches darknet. Cannabis dominated market, being 10 times more prevalent than opiates, cannabis products' higher availability region correlated lower incidence opiate overdoses. “grams opiates region” variable significantly overdose deaths (r=.41; P=.003), HIV-positive cases (r=.51; P=.002), court convictions (r=.39; P=.004). identified significant sales rates HIV among injection users (r=.47; P=.003). Conversely, exhibited negative harmful (r=–.52; P=.002) prevalence (r=–.49; P=.001). These findings suggest regional variations may be associated differing outcomes. accurately reflect issues, though some statistics incomplete or biased. Conclusions Our point varying levels risk darknet, further needed explore these relationships greater depth. study's highlight importance considering when developing strategies. that region-specific interventions could effective addressing diverse challenges posed by use.

Language: Английский

Citations

0