Ethambutol 200mg/5ml oral solution
Requires a prescription from a doctor or prescriber
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Yellow Card reports
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Suspected adverse reactions reported for Ethambutol
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Data from the MHRA Yellow Card scheme. A reported reaction does not necessarily mean the medicine caused it. Contains public sector information licensed under the Open Government Licence v3.0.
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Suspected adverse reactions reported for Ethambutol
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1 branded products available
WHO defined daily dose (DDD)
1.2 gram
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary BNF/ATC mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
NHS prescribing volume and spending trends
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(1)
Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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Codes for healthcare professionals and prescribing systems
These codes are used by healthcare IT systems and prescribers to identify this medicine.
NHS UK identifiers
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 11 · Randomised trials: 6 · 1966–2026
Showing the 50 most relevant studies, sorted by most relevant.
Marcus Barreto Conde, Anne Efron, Carla Loredo, et al.
The Lancet, 2009
- Moxifloxacin
- Antitubercular Agents
- Aza Compounds
Research Committee of the British Thoracic Society
Thorax, 2001
- Antitubercular Agents
- Ethambutol
- Isoniazid
Gupta A, Tejpal T, Sriranganathan A, et al.
2026
Ahmed AKK
2026
Background: Tuberculosis remains a leading cause of infectious disease mortality, with over 10 million new cases annually. The standard first-line regimen—isoniazid, rifampicin, pyrazinamide, and ethambutol—has dramatically improved survival, yet drug-induced micronutrient depletion, particularly zinc, is an underappreciated complication that may contribute to treatment-related morbidity. Ethambutol-induced optic neuropathy (EON) affects 1–5% of treated patients, and accumulating evidence implicates zinc chelation as its central mechanism. We hypothesize that anti-TB therapy creates a “multi-hit” zinc depletion state through convergent drug- and disease-mediated pathways. Methods: We conducted a systematic search of PubMed, Scopus, Web of Science, and Cochrane databases from 1944 (discovery of streptomycin) through March 2026. Search terms combined anti-TB drug names with zinc, copper, micronutrient, optic neuropathy, and visual loss. We included randomized controlled trials, cohort studies, case-control studies, case series, in vitro investigations, and animal models. PRISMA 2020 guidelines were followed. Risk of bias was assessed using the Newcastle–Ottawa Scale for observational studies and the Cochrane RoB 2.0 tool for trials. Results: From 2,847 initial records, 186 studies met inclusion criteria. Serum zinc was significantly lower in TB patients versus controls (pooled mean difference: −12.1 μmol/L; 95% CI: −14.5 to −9.7; I² = 68%). Ethambutol directly chelates zinc and copper in retinal ganglion cells via its metabolite EDBA, causing lysosomal membrane permeabilization and mitochondrial dysfunction. Isoniazid depletes pyridoxine, impairing zinc-dependent enzymatic cascades. Rifampicin induces CYP3A4 via PXR activation, accelerating retinol catabolism and functionally coupling zinc deficiency to vitamin A insufficiency through impaired retinol-binding protein synthesis. The zinc–vitamin A axis demonstrates a strong positive correlation (r = 0.86, p < 0.01) in TB cohorts. Zinc supplementation (50 mg elemental zinc/day) improved sputum conversion rates and reduced hepatotoxicity markers in three randomized trials. Conclusions: Anti-TB drugs collectively create a “multi-hit” zinc depletion syndrome that extends beyond simple ethambutol chelation. We propose a clinical algorithm for baseline zinc assessment, risk stratification, and prophylactic supplementation during TB therapy. Persistent visual loss despite ethambutol discontinuation should prompt evaluation of concurrent zinc depletion from isoniazid, rifampicin, and the underlying TB disease itself.
Abstract licence: CC BY
Dai X, Wu H, Zhu L, et al.
2026
Luo R, Ma J, Zhong Y
2026
Background: The retinal changes caused by ethambutol are not clear in patients with the administration of ethambutol and without ethambutol-induced optic neuropathy (EON). The aim of this systematic review is to estimate the changes in retinal nerve fiber layer (RNFL) and ganglion cell layer and inner plexiform layer (GCIPL) thicknesses measured by optical coherence tomography (OCT) in patients with mycobacterial infection treated with ethambutol and not suffering from EON. Methods: A systematic review of articles was conducted by searching PubMed, Embase, and Web of Science until November 2025. Additional studies were identified by the review of references. Search terms included OCT and ethambutol. Longitudinal observational studies using an OCT device to measure RNFL and GCIPL thicknesses before and after the administration of ethambutol in patients with mycobacterial infection without ocular diseases were included. The extraction of data in studies was performed by two researchers using data extraction sheets. The meta-analysis was conducted using the random-effect model. Results: In total, 14 studies (n = 1138) were eligible for the systematic review. Meta-analysis combining RNFL measured after the longest duration of ethambutol administration showed no significant decrease compared to RNFL before treatment. However, there were significant decreases in RNFL thickness in male-dominant studies, studies conducted in Turkey and India, and studies conducted by the Cirrus OCT device. In addition, the decreases in RNFL thickness were correlated with the duration of ethambutol administration in male-dominant studies. Only two studies reported the thickness changes in GCIPL, and the study with a higher male proportion showed significant decreases in GCIPL thickness. Conclusions: Ethambutol does not cause a significant RNFL decrease generally in mycobacterial infection patients; however, it may lead to decreased RNFL thickness in male patients and patients in some regions, even though they do not suffer from EON.
Abstract licence: CC BY
Almarhabi H, Sarhan A, Almohaya A, et al.
2026
- Mycobacterium Infections, Nontuberculous
- Nontuberculous Mycobacteria
- Osteomyelitis
BackgroundMycobacterium riyadhense is an emerging nontuberculous mycobacterium associated with infections in immunocompetent and immunocompromised patients.MethodsTo identify the epidemiology, risk factors, presentations, and antimicrobial susceptibility of M. riyadhense, we conducted a systematic review on PubMed, Web of Science, and Google Scholar adhering to PRISMA guidelines. We included publications during 2009-2025, with no limitation on language or study design. Cases of uncertain infection or identification were excluded. Review protocol was pre-registere in PROSPERO with protocol number; CRD420250653025.ResultsWe identified 22 studies reporting on 69 cases of M. riyadhense. Patient median age was 35.5 and 80% were male. Common presentations included pneumonia (n=52), lymphadenitis (n=13), osteomyelitis (n=8), or disseminated infection (n=8). Susceptibility to Rifampin and Ethambutol was observed in all tested isolates. Resistance to Isoniazid was detected in 5/8 isolates.ConclusionThis review identified a significant variability in the diagnosis and treatment of M. riyadhense. This underscores the urgent need for standardized diagnostic protocols and targeted treatment strategies to effectively manage infections.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420250653025.
Abstract licence: CC BY
Constance A. Benson, Paige L. Williams, Judith S. Currier, et al.
Clinical Infectious Diseases, 2003
- Acquired Immunodeficiency Syndrome
- Ethambutol
- Mycobacterium avium Complex
Chung TK, Yang E, Shin M, et al.
2026
BackgroundTuberculosis affects over a million children annually. Ethambutol (EMB) is a key component of the standard four-drug therapy for drug-susceptible tuberculosis in children, yet comprehensive pharmacokinetic studies have been lacking. We characterized the population pharmacokinetics of EMB through an individual patient data meta-analysis to determine optimal dosing strategies.MethodsEMB concentrations and individual-level patient data from three studies were analyzed using nonlinear mixed effects modeling. Simulations compared current World Health Organization (WHO)-recommended doses and model-informed optimized doses. Target exposure distribution (AUC 13.8-17.7 mg·h/L), which had been previously established in adult clinical trials, guided dose optimization.ResultsA total of 220 participants, aged from 0.2 to 15 years and weighing between 3.6 and 43.0 kg, contributed 1,085 plasma concentrations of EMB for model development. The effect of weight was incorporated on clearance, intercompartmental clearance, and volume of distribution in both the central and peripheral compartments. Age affected clearance through a maturation function. Simulations indicated children weighing less than 25 kg had median exposures below the target exposure distribution at current WHO-recommended doses. Under the optimized weight band dosing, approximately 40.5% of the patients would receive a higher dose, and an additional 5% points of patients may benefit from this adjustment.ConclusionOur IPDMA supports the revision of current pediatric EMB dosing guidelines for the treatment of tuberculosis. Our findings aim to ensure adequate drug exposure across all pediatric weight bands, while also accounting for toxicity and challenges related to formulation implementation and adherence.
Abstract licence: CC BY
Feng Yan, Sijun Liu, Qungang Wang, et al.
PLoS ONE, 2013
- Amikacin
- Antitubercular Agents
- Capreomycin
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
3.3 hours
Mechanism
Ethambutol diffuses into Mycobacterium cells.
Food interactions
2 warnings
Human targets
None mapped
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
75-80%
[L31663][L31748]
A 25 mg/kg oral dose of ethambutol reaches a Cmax of 2-5 µg/mL, with a Tmax of 2-4 hours.
[L31663][L31748]…
Half-life
3.3 hours
[L31748]…
Protein binding
20-30%
[L31748]
Data regarding which proteins ethambutol binds to are not readily available.
Volume of distribution
76.2 L
[A228953]
Metabolism
[A228948][A228963][L31663]…
Elimination
50%
[L31663][L31748]…
Clearance
77.4 L/h
[A228953]
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Ethambutol was granted FDA approval on 6 November 1967.[L31663]
[L31663]
Ethambutol is commonly used in combination with [isoniazid], [rifampin], and [pyrazinamide].
[L31743]
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 1233 interactions
[A228993]
In these cases, ethambutol should be stopped.
[A228993]
Data regarding acute overdose of ethambutol are not readily available. Patients experiencing an acute overdose of ethambutol may be experience an increased risk and severity of adverse effects such as pruritus, joint pain, gastrointestinal upset, abdominal pain, malaise, headache, dizziness, mental confusion, disorientation, and possible hallucinations.
[L31663][L31748]
Patients should be treated with symptomatic and supportive measures.
How the body processes this drug — absorption, distribution, metabolism, and elimination
[L31663][L31748]
A 25 mg/kg oral dose of ethambutol reaches a Cmax of 2-5 µg/mL, with a Tmax of 2-4 hours.
[L31663][L31748]
In a separate study, the AUC0-8 varied from 6.3 ± 5.5 h\*mg/L to 10.8 ± 7.6 h\*mg/L depending on CYP1A2 genetic polymorphisms.
[A228953]
[L31748]
In patients with renal failure, the half life could be 7 hours or longer.
[L31748]
[L31748]
Data regarding which proteins ethambutol binds to are not readily available.
[A228953]
[A228948][A228963][L31663]
[L31663][L31748]
20-22% of a dose is eliminated unchanged in the feces.
[L31663][L31748]
[A228953]
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC J04AM10
ATC J04AK02
ATC J04AM03
ATC J04AM09
ATC J04AM06
ATC J04AM07
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Show
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Ethambutol
Additional database identifiers
Drugs Product Database (DPD)
20261
ChemSpider
13433
BindingDB
50448407
PDB
95E
ZINC
ZINC000019364219
UniProt Accession
EMBC_MYCTU
UniProt Accession
EMBB_MYCTU
UniProt Accession
EMBA_MYCTU
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2596
GenAtlas
CYP1A2
GeneCards
CYP1A2
GenBank Gene Database
Z00036
Guide to Pharmacology
1319
UniProt Accession
CP1A2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2631
GeneCards
CYP2E1
GenBank Gene Database
J02625
GenBank Protein Database
181360
Guide to Pharmacology
1330
UniProt Accession
CP2E1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2621
GeneCards
CYP2C19
GenBank Gene Database
M61854
GenBank Protein Database
181344
Guide to Pharmacology
1328
UniProt Accession
CP2CJ_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2625
GenAtlas
CYP2D6
GeneCards
CYP2D6
GenBank Gene Database
M20403
GenBank Protein Database
181350
Guide to Pharmacology
1329
UniProt Accession
CP2D6_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2610
GenAtlas
CYP2A6
GeneCards
CYP2A6
GenBank Gene Database
X13897
Guide to Pharmacology
1321
UniProt Accession
CP2A6_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2623
GenAtlas
CYP2C9
GeneCards
CYP2C9
GenBank Gene Database
AY341248
Guide to Pharmacology
1326
UniProt Accession
CP2C9_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_HUMAN
DrugBank citations
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Structured knowledge from the free knowledge base
ATC classifications (Wikidata)
Linked open data from Wikidata (Q412318), a free and open knowledge base operated by the Wikimedia Foundation. Data is available under the Creative Commons CC0 1.0 Public Domain Dedication. WHO INN from the World Health Organization.