Acebutolol 200mg capsules
A cardioselective beta-adrenergic antagonist with little effect on the bronchial receptors.
Shortage warning
Current supply issues
High shortage warning
Healthcare professionals should be aware of the potential for delayed onset of angioedema and the distinction between bradykinin- and histamine-mediated cases, as treatment strategies differ significantly and bradykinin-medi…
Affected areas: UK
Official documents, adverse reaction reporting, and safety monitoring
Report a side effect
Submit a Yellow Card report to the MHRA
Official medicine documents
Safety monitoring data
Yellow Card reports
The MHRA Yellow Card scheme collects reports of suspected side effects from healthcare professionals and patients. View the Drug Analysis Profile (iDAP) for real-world adverse reaction data.
View Drug Analysis Profile
Suspected adverse reactions reported for Acebutolol
Browse all iDAP reports
Interactive Drug Analysis Profiles for all medicines
Report a side effect
Submit a Yellow Card report to the MHRA
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.
EudraVigilance
The European Medicines Agency (EMA) collects suspected adverse reaction reports from across the EU/EEA through the EudraVigilance system. Search for safety data on this medicine.
View EudraVigilance report
Suspected adverse reactions reported for Acebutolol
About EudraVigilance
Learn about EU pharmacovigilance and safety monitoring
EudraVigilance data is published by the European Medicines Agency (EMA). A suspected adverse reaction is not necessarily caused by the medicine.
7 branded products available
WHO defined daily dose (DDD)
400 mg
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
Check stock at pharmacies and supply information
Pharmacy stock checkers
Search for this medicine at major UK pharmacy chains. These links open the retailer's own website — results depend on their current online catalogue.
Supply & safety information
Official UK regulator monitoring and safety alerts
Pharmacy links redirect to the retailer's own search and do not represent real-time stock levels. Shortage and safety information sourced from MHRA drug safety updates (gov.uk, Crown Copyright under OGL v3.0).
Codes for healthcare professionals and prescribing systems
These codes are used by healthcare IT systems and prescribers to identify this medicine.
NHS UK identifiers
Browse tools
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 all 21 studies.
2017–2026
Showing all 21 studies, sorted by most relevant.
Yanyu Zhang, Giorgia Daniel, Sonia Lanzalaco, et al.
Journal of hazardous materials, 2021
- Hydrogen Peroxide
- Water Pollutants, Chemical
- Acebutolol
The excessive cost, unsustainability or complex production of new highly selective electrocatalysts for H2O2 production, especially noble-metal-based ones, is prohibitive in the water treatment sector. To solve this conundrum, biomass-derived carbons with adequate textural properties were synthesized via agarose double-step pyrolysis followed by steam activation. A longer steam treatment enhanced the graphitization and porosity, even surpassing commercial carbon black. Steam treatment for 20 min yielded the greatest surface area (1248 m2 g-1), enhanced the mesopore/micropore volume distribution and increased the activity (E1/2 = 0.609 V) and yield of H2O2 (40%) as determined by RRDE. The upgraded textural properties had very positive impact on the ability of the corresponding gas-diffusion electrodes (GDEs) to accumulate H2O2, reaching Faradaic current efficiencies of ~95% at 30 min. Acidic solutions of β-blocker acebutolol were treated by photoelectro-Fenton (PEF) process in synthetic media with and without chloride. In urban wastewater, total drug disappearance was reached at 60 min with almost 50% mineralization after 360 min at only 10 mA cm-2. Up to 14 degradation products were identified in the Cl−-containing medium.
Abstract licence: CC BY-NC-ND
Oualha R, Abdelkrim YZ, Guizani I, et al.
2024
- Machine Learning
- Antiprotozoal Agents
- Inhibitory Concentration 50
Drug repurposing is a promising approach towards the discovery of novel treatments against Neglected Tropical Diseases, such as Leishmaniases, presenting the advantage of reducing both costs and duration of the drug discovery process. In previous work, our group developed a Machine Learning pipeline for the repurposing of FDA-approved drugs against Leishmania parasites. The present study is focused on an in vitro validation of this approach by assessing the antileishmanial effects of 10 predicted drug candidates. First, we evaluated the drugs’ activity against promastigotes from two strains of L. infantum and one of L. major , which caused distinct clinical manifestations, using an MTT assay. The standard anti- Leishmania drug Amphotericin B was used as a positive control. Five molecules demonstrated anti- Leishmania effects, out of which Acebutolol, Prilocaine and Phenylephrine are described herein for the first time. When tested on promastigote growth, Acebutolol displayed IC 50 values ranging from 69.28 to 145.53 µg/mL. Prilocaine exhibited IC 50 values between 33.10 and 45.81 µg/mL. Phenylephrine, on the other hand, presented IC 50 values >200 µg/mL. The two remaining drugs, Dibucaine and Domperidone, exhibited significantly low IC 50 values varying between 0.58 and 1.05 µg/mL, and 6.30 and 8.17 µg/mL, respectively. Both compounds were previously described as anti- Leishmania agents in vivo . All five compounds demonstrated no notable cytotoxic effects on THP-1-derived macrophages at the IC 50 concentrations, allowing for their testing on the intracellular form of L. major and L. infantum parasites. Interestingly, all compounds exhibited antileishmanial activity on amastigotes with enhanced IC 50 values compared to the corresponding promastigotes. Noticeably, Dibucaine and Domperidone displayed IC 50 values of at most 1.99 µg/mL. Acebutolol, Prilocaine and Phenylephrine showed IC 50 values ranging from 13.84 to 66.81 µg/mL. Our previously published Computer-Aided repositioning pipelines of FDA-approved drugs as antileishmanial agents identified Dibucaine and Domperidone as candidates in support of previous in vivo studies. This study consolidates such findings through the in vitro validation against 2 Leishmania species, highly prevalent in Africa and Middle East, and reveals Acebutolol, Prilocaine, and Phenylephrine as novel anti- Leishmania effectors, confirming the relevance of our approach and calling for further investigations.
Abstract licence: CC BY
W. Hsiao, Subash Vetri Selvi, Alagumalai Krishnapandi, et al.
Talanta, 2024
- Graphite
- Oxides
- Tannins
A. M. Al-Mohaimeed, Suliman Y. Al Omar, M. El-Tohamy
Heliyon, 2023
A straightforward approach for creating fast and novel potentiometric sensors that are modified with multi-walled nanotubes (MWCNTs) was described. The impact of the selective sensor's material was studied. The suggested sensors were successfully fabricated for instant and fast detection of the prohibited β-adrenoreceptor blocking agent acebutolol hydrochloride (AC) in commercial products. Acebutolol-phosphomolybdate (AC-PM) carbon paste sensor was formed by mixing AC and phosphomolybdic acid and graphite powder in the presence of o-nitrophenyl octyl ether (o-NPOE) as a plasticizing agent. The functionalized AC-PM-MWCNTs and AC-PM-MWCNTs-Al2O3 nanocomposite sensors were prepared and all parameters affecting the sensors' potential responses have been investigated as well as the green synthesis of Al2O3NPs has been characterized using various microscopic and spectroscopic techniques. AC-PM-MWCNTs and AC-PM-MWCNTs-Al2O3 nanocomposite sensors demonstrated linearity of 1.0 × 10−7-1.0 × 10−2 and 1.0 × 10−8-1.0 × 10−2 mol L−1, respectively with regression equations −53.571x + 423.24 (r = 0.999) and −57.107x + 518.54 (r = 0.999). It also revealed excellent selectivity and sensitivity for the determination and quantification of AC. The developed potentiometric system was suitable for the determination of AC in bulk powder and commercial products.
Abstract licence: CC BY-NC-ND
Ramakrishnan Vishnuraj, T. Kokulnathan, Tzyy-Jiann Wang, et al.
Journal of Alloys and Compounds, 2025
N. J. Waleng, Tshimangazo Saddam Munonde, Anele Mpupa, et al.
RSC Advances, 2025
Rapid advances in industries and agricultural practices have recently released various toxic pollutants into aquatic systems.
Abstract licence: CC BY-NC
Alagumalai Krishnapandi, S. V. Selvi, Adhimoorthi Prasannan, et al.
Reactive and Functional Polymers, 2023
Dan Liu, Hui Shen, Jonathan Greenbaum, et al.
Clinical Pharmacology and Therapeutics, 2025
- Osteoporosis
- Multiomics
- Disease Models, Animal
Osteoporosis is a common metabolic bone disease with aging, characterized by low bone mineral density (BMD) and higher fragility fracture risk. Although current pharmacological interventions provide therapeutic benefits, long-term use is limited by side effects and comorbidities. In this study, we employed driver signaling network identification (DSNI) and drug functional networks (DFN) to identify repurposable drugs from the Library of Integrated Network-Based Cellular Signatures. We constructed osteoporosis driver signaling networks (ODSN) using multi-omics data and developed DFN based on drug similarity. By integrating ODSN and DFN with drug-induced transcriptional responses, we screened 10,158 compounds and identified several drugs with strong targeting effects on ODSN. Mendelian randomization assessed potential causal links between cis-eQTLs of drug targets and BMD using genome-wide association study data. Our findings indicate four drugs, including Ruxolitinib, Alfacalcidol, and Doxercalciferol, may exert anti-osteoporosis effects. Notably, Acebutolol, a β-blocker for hypertension, has not previously been implicated in osteoporosis therapy. For validation, zebrafish osteoporosis models were established using Dexamethasone-induced bone loss, followed by treatment with Acebutolol hydrochloride and Alfacalcidol. Both compounds demonstrated significant protective effects against osteoporosis-related bone deterioration. Furthermore, a population-based data set, utilizing propensity score matching and analyzed via a generalized linear model, revealed that individuals taking β-blocker drugs exhibited significantly higher BMD than users of other cardiovascular medications. In summary, this study integrates multi-omics approaches, experimental validation, and real-world population data to propose acebutolol as a novel candidate for osteoporosis treatment. These findings warrant further mechanistic studies and clinical trials to evaluate its efficacy in osteoporosis management.
Abstract licence: CC BY-NC-ND
Jennifer P. Pinto, Manjunatha Megalamani, Ajitkumar Appayya Hunashyal, et al.
RSC Pharmaceutics, 2025
This study presents the development of biocompatible polymeric films designed for the sustained release of the β-blocker acebutolol hydrochloride (AH).
Abstract licence: CC BY-NC
Aashi Mathur, Chandramauly Sharma, Viral Shukla, et al.
Forensic Science, Medicine and Pathology, 2023
- Acebutolol
- Asphyxia
- Postmortem Changes
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
10 found
Half-life
3 to 4 hours
Mechanism
Acebutolol is a selective β1-receptor antagonist.
Food interactions
1 warning
Human targets
2 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
40%
Half-life
3 to 4 hours
Protein binding
26%
Metabolism
Elimination
30%
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 1490 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
Involved in the regulation of sleep/wake behaviors PMID:31473062
Enzymes involved in drug metabolism — important for understanding drug interactions
Proteins that transport this drug across cell membranes
PMID:2897240 PMID:35970996 PMID:8898203 PMID:9038218 PMID:35507548
Catalyzes the flop of phospholipids from the cytoplasmic to the exoplasmic leaflet of the apical membrane. Participates mainly to the flop of phosphatidylcholine, phosphatidylethanolamine, beta-D-glucosylceramides and sphingomyelins .
PMID:8898203
Energy-dependent efflux pump responsible for decreased drug accumulation in multidrug-resistant cells PMID:2897240 PMID:35970996 PMID:9038218
ATC C07AB04
ATC C07BB04
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)
Acebutolol
Additional database identifiers
Drugs Product Database (DPD)
11162
Drugs Product Database (DPD)
2116
ChemSpider
1901
BindingDB
25755
HUGO Gene Nomenclature Committee (HGNC)
HGNC:285
GenAtlas
ADRB1
GeneCards
ADRB1
GenBank Gene Database
J03019
GenBank Protein Database
178200
Guide to Pharmacology
28
UniProt Accession
ADRB1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:286
GenAtlas
ADRB2
GeneCards
ADRB2
GenBank Gene Database
Y00106
GenBank Protein Database
29371
Guide to Pharmacology
29
UniProt Accession
ADRB2_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:40
GenAtlas
ABCB1
GeneCards
ABCB1
GenBank Gene Database
M14758
GenBank Protein Database
307180
Guide to Pharmacology
768
UniProt Accession
MDR1_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite the following publications:
Show earlier publications
Structured knowledge from the free knowledge base
Wikipedia article
chemical compound: beta blocker for treatment of hypertension and arrhythmias
Read on WikipediaATC classifications (Wikidata)
Linked open data from Wikidata (Q418857), 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.