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Record W2026034089 · doi:10.1111/head.12550

Acute Migraine Treatment in Adults

2015· review· en· W2026034089 on OpenAlexaff
Werner J. Becker

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2015
Typereview
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsOntario Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsTriptansMedicineRizatriptanMigraineSumatriptanAnesthesiaAcetaminophenMigraine treatmentNauseaDihydroergotamineMetoclopramideOpioidVomitingIntensive care medicineInternal medicineAgonist

Abstract

fetched live from OpenAlex

There are many options for acute migraine attack treatment, but none is ideal for all patients. This study aims to review current medical office-based acute migraine therapy in adults and provides readers with an organized approach to this important facet of migraine treatment. A general literature review includes a review of several recent published guidelines. Acetaminophen, 4 nonsteroidal anti-inflammatory drugs (NSAIDs) (ibuprofen, acetylsalicylic acid [ASA], naproxen sodium, and diclofenac potassium), and 7 triptans (almotriptan, eletriptan, frovatriptan, naratriptan, rizatriptan, sumatriptan, and zolmitriptan) have good evidence for efficacy and form the core of acute migraine treatment. NSAID-triptan combinations, dihydroergotamine, non-opioid combination analgesics (acetaminophen, ASA, and caffeine), and several anti-emetics (metoclopramide, domperidone, and prochlorperazine) are additional evidence-based options. Opioid containing combination analgesics may be helpful in specific patients, but should not be used routinely. Clinical features to be considered when choosing an acute migraine medication include usual headache intensity, usual rapidity of pain intensity increase, nausea, vomiting, degree of disability, patient response to previously used medications, history of headache recurrence with previous attacks, and the presence of contraindications to specific acute medications. Available acute medications can be organized into 4 treatment strategies, including a strategy for attacks of mild to moderate severity (strategy one: acetaminophen and/or NSAIDs), a triptan strategy for patients with severe attacks and for attacks not responding to strategy one, a refractory attack strategy, and a strategy for patients with contraindications to vasoconstricting drugs. Acute treatment of migraine attacks during pregnancy, lactation, and for patients with chronic migraine is also discussed. In chronic migraine, it is particularly important that medication overuse is eliminated or avoided. Migraine treatment is complex, and treatment must be individualized and tailored to the patient's clinical features. Clinicians should make full use of available medications and formulations in an organized approach.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.007

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 head0.074
GPT teacher head0.383
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations175
Published2015
Admission routes1
Has abstractyes

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