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Record W4407168863 · doi:10.12775/jehs.2025.78.57497

Non-trivial uses of melatonin: Its effects on sleep, jet lag, obesity, migraine, and gastrointestinal disorders

2025· article· en· W4407168863 on OpenAlexaff
Jakub Wirkijowski, Małgorzata Wirkijowska, Jolanta Mędyk, Yauheniya Patarocha, Michał Rogulski, Aleksandra Ślusarska, Paulina Błasiak, Patryk Mikołajec, Ruslan Huk, Barbara Bilecka

Bibliographic record

VenueJournal of Education Health and Sport · 2025
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsMigraineSleep (system call)MelatoninMedicineObesityLagInternal medicineComputer science

Abstract

fetched live from OpenAlex

Introduction and aim of the study: Melatonin consumption is steadily increasing. In this literature review, the authors intended to introduce the latest scientific evidence on the influence of the sleep hormone not only on the quality of time spent in bed and jet lag, but also to consider possible other positive impacts. Its eventual effects on headaches, gastrointestinal complaints, or obesity were analyzed. Materials and methods: The authors searched the scientific literature utilizing search engines such as Science Direct, Cochrane, PubMed, Google Scholar, and UpToDate. The literature review focused on the association of melatonin with issues such as sleep, migraines, GERD, IBS, and jet lag. Results: Most of the articles reviewed in this study highlighted the positive effects of melatonin supplementation on sleep problems and jet lag. Furthermore, many studies report that it likewise has a beneficial impact on conditions not directly related to sleep, such as obesity, GERD, IBS, or migraine. Nevertheless, the articles emphasize the need for further research to establish treatment protocols and to select an optimal dose.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.298
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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