Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Market Capitalization:2 329 949 464 623 USD
Vol. in 24 hours:51 529 007 705,25 USD
Dominance:BTC 58,36%
ETH:10,23%
Yes

Chainalysis reports that cryptocurrency foresaw the fentanyl slowdown months before overdose deaths decreased.

crypthub
Chainalysis reports that cryptocurrency foresaw the fentanyl slowdown months before overdose deaths decreased.

Fentanyl Supply Disruption

Cryptocurrency payments to fentanyl precursor suppliers dropped in mid-2023, preceding a decline in overdose deaths. Chainalysis reports this suggests blockchain data may detect supply chain disruptions up to six months before official mortality statistics. Law enforcement could use these signals alongside traditional metrics like drug seizures. Overdose data delays due to certification processes highlight the potential lead time for intervention.

Human Trafficking and Crypto Activity

Chainalysis identified a sharp rise in crypto flows tied to human trafficking, with 85% year-over-year growth in 2025. Activity is concentrated in Southeast Asia, linked to Telegram-based networks, scam compounds, and money laundering. Four categories were identified: escort services, labor recruitment, prostitution, and CSAM vendors. Each category shows distinct payment patterns and operational scales.

Payment Methods and Operational Structures

“International escort” and prostitution networks favor stablecoins for price stability. CSAM vendors increasingly use Monero and Layer 1 networks, complicating tracing efforts. Transaction sizes vary: over 48% of escort service transfers exceed $10,000, indicating large-scale operations. Labor recruitment payments typically range between $1,000–$10,000, aligning with smuggling fees.

Infrastructure and Network Overlaps

Trafficking services often integrate with Chinese-language money laundering networks and “guarantee” platforms. CSAM operators use subscription models under $100/month for recurring revenue. Overlaps with extremist communities and US-based web infrastructure are noted. These patterns leave observable on-chain traces despite increased use of privacy-focused assets.