Evidence map›Paper›PMID 40950761›Full record

ReviewFrontiers in psychiatry2025

The battle over "food addiction".

Robert H Lustig

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. 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. Review
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.

Robert H LustigDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of nutrition, obesity, and diabetes research, and worsening prevalences and severities of virtually every chronic metabolic disease, the scientific community remains divided over the existence and veracity of the concept of food addiction. There are numerous rationalizations - 1) you need food to survive, (of which "Food is Medicine" is the latest mantra); 2) people with obesity should not be stigmatized as "mentally ill"; 3) people with obesity should instead adhere to "personal responsibility"; 4) the data are incomplete and not strong enough; 5) it's correlation but not causation; 6) everyone is exposed, but not everyone is addicted; 7) there is no "withdrawal" phenotype; and 8) it's not "food addiction" but "eating addiction". All are in play, yet more health care dollars are diverted to the treatment of food-related disease every year. While various ingestible chemicals (e.g. nicotine, cocaine, heroin, alcohol) are clearly addictive, it appears to be a stretch by some scientists to argue that individual substances found in food (e.g. sugar, caffeine), or the food itself (e.g. ultraprocessed food), rise to meet the same criteria. Symposia on food addiction proliferate and journal debates continue. The definition of addiction consists of numerous criteria, including public health demographics, biochemistry, imaging, animal trials, clinical trials, and economics. None of these have proven to be "slam dunks" to align a general consensus. But paramount for scientific acceptance is the delineation of mechanism. This article will review the history of the controversy, the data on which foods are most likely to be addictive, the two mechanisms involved in the pathogenesis of food addiction and relate it to the most likely culprits, and the role of the food industry in promulgating false narratives, in order to provide a rational way forward from this debate.

Indexed as

dopaminefood addictionfood industryinsulinleptinsugarultraprocessed foods

Identifiers

PMID40950761
PMCPMC12423058

What OpenQuestion holds

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Registered trials

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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.