Evidence map›Paper›PMID 42574612›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Stability and turbulence in illegal drug markets.

Beau Kilmer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A budding science of illegal markets.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Illegal markets: An important domain for applied science.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

1 author.

Beau KilmerRAND Drug Policy Research Center, Santa Monica, CA 90407.ORCID 0000-0002-9333-8080

Funding

NSF (NSF) 2146230
6 · The paper itself

Abstract

This article provides a primer on illegal drug markets, with a focus on the structure and nature of these markets and the enterprises involved. The markets for illegal drugs are large, with annual retail expenditures likely exceeding $100 billion in the United States alone. Many drugs are easy to produce, and their high value-to-weight ratios make them attractive to smugglers. Some features of illegal drug markets have been quite stable, such as the small size of retail purchases, in part because most sales are to people who use frequently and typically do not buy in bulk. Between production and consumption, most of these substances cross multiple borders-and often continents-and the mark-ups along the supply chain continue to be substantial. But there have been major changes over the past 15 y. While illegally manufactured synthetic drugs are not new, the proliferation of fentanyl and other synthetic opioids created an overdose crisis in North America and has other countries on high alert. The internet has also made producing and accessing a wide range of drugs and their precursor chemicals easier. The emergence of cryptocurrencies has created new opportunities to hide transactions and launder the proceeds. In addition to highlighting the stability and turbulence in these markets, this article offers ideas for future research and emphasizes the need for monitoring purity-adjusted drug prices, which is critical for understanding supply changes and evaluating interventions in these markets.

Indexed as

CommerceDrug TraffickingIllicit DrugsHumansUnited StatesIllicit Drugsdrug policydrug traffickingillegal drugsprohibition

Identifiers

PMID42574612
PMCPMC13486525

What OpenQuestion holds

Textmetadata
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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.