Drug · FAERS side-effect profile with label screen

Acetaminophen and Aspirin and Caffeine side effects: what 369 FDA adverse event reports show

Acetaminophen, Aspirin, Caffeine · 6 reaction terms · 77 drug–reaction co-reports · data 2026-09-14

Drug class

Not stated in label

Label matched

Acetaminophen (Acetaminophen)

closest FDA label found for this product string; brand list suppressed because the label is a related product, not an exact match

Who reports

369 reports · 32% serious · 31 with death outcome · 71% female

openFDA FAERS counts, all years, deduplication not applied

Used for

temporarily relieves minor aches and pains due to: headache muscular aches backache minor pain of arthritis the common cold toothache premenstrual and menstrual cramps temporarily reduces fever

FDA label, Indications and Usage

Boxed warning

None in the current label

How to read this page. FAERS is a spontaneous-reporting system: counts are not incidence rates and a signal is not proof of causation. Each reaction below is run through an automated screen — is the term in the FDA label (known), in the indications (the disease being treated), an administrative/coding term, or none of these (unlabeled)? That screen is mechanical text matching, not a causality assessment. The 30 hand-written Bradford Hill assessments are on the causality assessment page. Not medical advice.

Causality screen of the 4 strongest signals

Reporting / coding artifact 3Outcome field, not a reaction 1

What the badges mean

Reporting / coding artifact An administrative, monitoring or exposure term (product issue, off-label use, 'test normal', overdose...). Not a biological reaction; a high PRR here reflects how reports are coded.
Outcome field, not a reaction Death is a report outcome, not a reaction term. It is dominated by the underlying illness; see the seriousness profile and the boxed warning instead.
Not in label — unassessed Not found in the label text, not an artifact pattern. This is a genuine candidate for a formal causality assessment (Bradford Hill / WHO-UMC); it has NOT had one here.

Strongest disproportionality signals

Flagged terms (PRR ≥ 2, χ² ≥ 4, n ≥ 10), ranked by PRR; infinite PRRs (no comparator reports) excluded. The EBGM column is a second, shrinkage-based estimate (MGPS) with its 5th percentile EB05 and the BCPNN IC025; a pair flagged by PRR alone is marked PRR-only and should be read as fragile. The strata column recomputes the PRR on serious reports only and flags pairs whose reports are unusually skewed by sex or come mostly from consumers rather than clinicians. 2 further terms are in the interactive explorer. Reaction links open the term's cross-drug page.

Show: hide coding/lab/outcome terms hide indication terms unlabeled only hide PRR-only

Reaction	Reports	PRR 95% CI · ROR · χ²/p	EBGM EB05 · IC025	Label screen	Serious-only & strata	Trial cross-check
Expired product administered	35	60.0 43.8–82.3ROR 66.2 · χ² 1,973 / p <1e-300	58.1 EB05 43.7 · IC025 +4.5 3/3 methods agree	Reporting / coding artifact	serious n=2 · 97% consumer	no trial data cached
Product odour abnormal	5	27.4 11.5–65.4ROR 27.7 · χ² 102 / p 3e-24	23.2 EB05 8.0 · IC025 +1.4 3/3 methods agree	Reporting / coding artifact	serious n=1	no trial data cached
Underdose	21	16.3 10.8–24.7ROR 17.3 · χ² 288 / p 6e-65	15.9 EB05 10.6 · IC025 +2.9 3/3 methods agree	Reporting / coding artifact	90% consumer	no trial data cached
Completed suicide (death by suicide)	9	6.1 3.2–11.6ROR 6.2 · χ² 33 / p 4e-9	4.8 EB05 2.7 · IC025 +1.1 3/3 methods agree	Outcome field, not a reaction	serious PRR 10.8	no trial data cached

Trial evidence (ClinicalTrials.gov)

Trial cross-check not yet run for this drug (ClinicalTrials.gov pull covers the 800 most-reported drugs first).

Most frequently reported reactions

By raw co-report count, regardless of disproportionality. Common terms here are often the illness itself or generic outcomes.

Reaction	Reports	PRR 95% CI · ROR · χ²/p	EBGM EB05 · IC025	Label screen	Serious-only & strata	Trial cross-check
Expired product administered	35	60.0 43.8–82.3ROR 66.2 · χ² 1,973 / p <1e-300	58.1 EB05 43.7 · IC025 +4.5 3/3 methods agree	Reporting / coding artifact	serious n=2 · 97% consumer	no trial data cached
Underdose	21	16.3 10.8–24.7ROR 17.3 · χ² 288 / p 6e-65	15.9 EB05 10.6 · IC025 +2.9 3/3 methods agree	Reporting / coding artifact	90% consumer	no trial data cached
Completed suicide (death by suicide)	9	6.1 3.2–11.6ROR 6.2 · χ² 33 / p 4e-9	4.8 EB05 2.7 · IC025 +1.1 3/3 methods agree	Outcome field, not a reaction	serious PRR 10.8	no trial data cached
Product odour abnormal	5	27.4 11.5–65.4ROR 27.7 · χ² 102 / p 3e-24	23.2 EB05 8.0 · IC025 +1.4 3/3 methods agree	Reporting / coding artifact	serious n=1	no trial data cached
Drug effective for unapproved indication	4	7.8 2.9–20.6ROR 7.9 · χ² 17 / p 2e-5	4.7 EB05 2.0 · IC025 +0.4	Not in label — unassessed	–	no trial data cached
Product taste abnormal	3	12.7 4.1–39.1ROR 12.8 · χ² 22 / p 2e-6	6.4 EB05 2.0 · IC025 +0.2 3/3 methods agree	Reporting / coding artifact	serious n=1	no trial data cached

Unlabeled candidate signals

Every screened signal with n ≥ 20 was either labeled, an indication term, or an artifact pattern — no unlabeled candidate stood out in the top signals.

✓ A hand-written Bradford Hill causality assessment exists for this drug: Acetaminophen (paracetamol) ↔ Liver injury / hepatotoxicity.

Want to assess one of these properly? The runbook describes the Bradford Hill / trial-evidence workflow used on the assessment page, and handoff_top1000_signals.csv lists the strongest unassessed pairs across all drugs.

Common questions

What are the most reported side effects of Acetaminophen and Aspirin and Caffeine?

In FDA FAERS, the most frequently co-reported reaction terms for Acetaminophen and Aspirin and Caffeine are drug effective for unapproved indication. These are report counts, not rates: FAERS has no denominator, reporting is voluntary and uneven, and a term can be reported because of the illness being treated rather than the drug.

Does Acetaminophen and Aspirin and Caffeine have an FDA boxed warning?

No. The FDA label retrieved for Acetaminophen and Aspirin and Caffeine has no boxed warning; see the label's Warnings and Precautions for the recognised risks.

Do FAERS signals prove that Acetaminophen and Aspirin and Caffeine causes these side effects?

No. A disproportionality signal (PRR, ROR) means a reaction is reported more often with this drug than with others in the database. That can reflect a real effect, but also the disease being treated, stimulated reporting after news or litigation, co-medications, or how reports are coded. Causality needs temporality, dose-response, biological plausibility, consistency across data sources and, ideally, trial or cohort evidence. This page screens each term against the FDA label and ClinicalTrials.gov results; it does not establish causation.

Sources & methods

FDA label via openFDA (set ID 004c39cd-b4f4-1cae-e063-6394a90a0697, effective 20251003; matched on openfda.generic_name.exact:"ACETAMINOPHEN")
Bayesian shrinkage measures computed offline over all 1,317,300 cached pairs: BCPNN information component (IC, with Norén closed-form IC025) and MGPS empirical-Bayes geometric mean (EBGM, EB05) with a two-component gamma prior fitted by maximum marginal likelihood (α₁=0.57, β₁=0.02, α₂=1.42, β₂=0.70, w=0.17); unstratified
FAERS pair statistics from the OpenPV build of 2026-09-14 (openFDA count= aggregation, field patient.drug.openfda.generic_name.exact, 6 reaction terms, min 3 co-reports); PRR/ROR with 95% CI, chi-square with Yates correction
Serious-only and stratified counts (serious:1, patient.patientsex, primarysource.qualification) from openFDA count queries; serious-only PRR uses the drug serious report total and the term global serious total (N_serious=11,882,979); strata shown only when n ≥ 20
Seriousness and sex counts from openFDA count=serious, patient.patientsex, seriousnessdeath

Page generated 2026-10-08. Label and PubChem text are retrieved automatically and may lag the current label; always check the current prescribing information. OpenPV is a beta research tool of the Open Source Medicine Foundation.