Evidence map›Paper›PMID 41860539›Full record

ArticleJAMA health forum2026

Manufacturing Supply Chains and Imports in the ADHD Drug Shortage.

Janet Currie, Anna Malinovskaya

Abstract read
In one paragraph

Article in JAMA health forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Janet CurrieDepartment of Economics, Yale University, New Haven, Connecticut.
Anna MalinovskayaDepartment of Economics, Yale University, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The US has faced a nationwide shortage of attention-deficit/hyperactivity disorder (ADHD) medications since 2022, yet the underlying causes remain unclear. Public debate has largely centered on prescribing trends and Drug Enforcement Administration (DEA) quotas, although evidence suggests that quotas were not binding. A sound policy response requires a clear understanding of the drivers behind the shortage. Objective: To examine descriptive evidence on the potential causes of the shortage. Setting and Design: In this economic evaluation, we use time series data (2015-2025) from multiple sources, such as Symphony Health and the DEA's Automation of Reports and Consolidated Orders System (ARCOS) summary reports, to characterize US production, consumption, and trade of amphetamine-based and other stimulants, including manufacturer-level production volumes, before and during the shortage period. Findings: The sharp, simultaneous production cutbacks across several medium-sized and smaller manufacturers in late 2022 and early 2023 coincided with a steep contraction in US imports of raw amphetamines and more modest declines in phenylacetone, a key precursor. Conclusions and Relevance: These patterns align with manufacturers' reports to the US Food and Drug Administration citing a shortage of the active ingredient as the cause of backorders. More broadly, this economic evaluation reframes the discussion of ADHD medication shortages beyond DEA quotas, highlighting the vulnerability of US pharmaceutical manufacturing to international supply chain disruptions and underscoring the need for policies that strengthen supply chain resilience.

Indexed as

Attention Deficit Disorder with HyperactivityCentral Nervous System StimulantsCommerceDrug IndustryAmphetaminesHumansUnited StatesAmphetaminesCentral Nervous System Stimulants

Identifiers

PMID41860539
PMCPMC13005163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.