Cyclizine 2.5mg/5ml oral solution
Requires a prescription from a doctor or prescriber
A histamine H1 antagonist given by mouth or parenterally for the control of postoperative and drug-induced vomiting and in motion sickness.
Official documents, adverse reaction reporting, and safety monitoring
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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.
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Suspected adverse reactions reported for Cyclizine
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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.
EudraVigilance
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Suspected adverse reactions reported for Cyclizine
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EudraVigilance data is published by the European Medicines Agency (EMA). A suspected adverse reaction is not necessarily caused by the medicine.
1 branded products available
WHO defined daily dose (DDD)
100 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
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(3)
Care of dying adults in the last days of life (NG31)
Antenatal care (NG201)
Intrapartum care (NG235)
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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Supply & safety information
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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
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 the 50 most relevant studies.
Reviews & meta-analyses: 4 · Trials: 1 · 1958–2026
Showing the 50 most relevant studies, sorted by most relevant.
Hamid S, Bahaj B, Sajhad ZU
2026
Postoperative nausea and vomiting (PONV) are frequent complications following general anaesthesia, demanding effective and cost-efficient prophylactic strategies. Therefore, this study aimed to assess the comparative efficacy and safety of ondansetron versus cyclizine for PONV prophylaxis in adult surgical patients by adopting a meta-analysis research approach. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were adopted in selecting and screening the studies. A computer-based search of the EMBASE, MEDLINE, CENTRAL, and CINAHL databases was carried out using the last search up to November 2025. The risk of bias of the included randomised controlled trials (RCTs) was assessed using the Cochrane Risk of Bias 2 (RoB 2) tool. A sensitivity analysis was performed to assess robustness, and the certainty of evidence was evaluated using Grading of Recommendations Assessment, Development and Evaluation (GRADE). All statistical analyses were performed using MetaAnalysisOnline software. Four RCTs involving 433 adult surgical patients were included. Pooled analysis showed that ondansetron did not significantly reduce the incidence of any PONV compared to cyclizine (odds ratio: 0.74, 95% CI: 0.34 to 1.61, p=0.45). Sensitivity analysis confirmed this finding across surgical subtypes. Additionally, there were no significant differences in the incidence of postoperative vomiting (odds ratio: 1.11, 95% CI: 0.61 to 2.02, p=0.74) or the requirement for rescue antiemetics (odds ratio: 1.83, 95% CI: 0.95 to 3.52, p=0.07). However, moderate heterogeneity was observed (I2=68%) for the primary outcome, and cyclizine was associated with a statistically significant, though clinically small, delay in time to eye opening (mean difference: 2.00 min, p<0.001). The overall certainty of evidence was graded as low to very low. Low-certainty evidence indicates that cyclizine is a reasonable approach to preventing PONV, offering comparable efficacy to ondansetron without prolonging hospital discharge times. Due to its cost-effectiveness and potential specific benefit in diagnostic laparoscopy, it might be useful for ambulatory surgical centres aiming to optimize value-based care. However, the efficacy of cyclizine within modern multimodal protocols has not been consistently determined by these monotherapy trials, and long-term assessments of combined antiemetic strategies need to be evaluated.
Abstract licence: CC BY
M Clubley, CE Bye, T Henson, et al.
British Journal of Clinical Pharmacology, 1979
- Brain
- Caffeine
- Clinical Trials as Topic
Sally-Ann Nortcliffe, Jaimin S. Shah, Donal J. Buggy
British Journal of Anaesthesia, 2003
- Cesarean Section
- Analgesics, Opioid
- Anesthesia, Obstetrical
M. S. Afanamol, A. Deepika Dinesh, Kashif Ali, et al.
In Silico Pharmacology, 2023
Cardiovascular diseases are the primary factor for increased mortality rates around the world. Atherosclerosis brought on by high serum cholesterol can result in coronary heart disease (CHD). The risk of CHD is markedly reduced by lowering serum cholesterol levels. Scientists across the world are inventing new treatment regimens for lowering blood lipid levels. In this work, we repurposed the already established drugs, i.e., cyclizine derivatives as antihyperlipidemic agents. The repurposing was done based on the similarity of the selected cyclizine derivatives with the already established antihyperlipidemic drug, fenofibrate. Computational studies were performed and the 16 cyclizine derivatives docked against PPAR. alpha scored higher than fenofibrate. Lifarizine and medibazine outperform fenofibrate inmmgbsa. Fenofibrate, etodroxizine, meclizine, and cinnarizine had similar mmgbsa scores. The ADME properties of these compounds were performed and from that etodroxizine and levocetirizine were found to have better properties. The computational studies were performed using the Schrodinger software, maestro 12.8. The “Protein Preparation Wizard” module in the Maestro panel was used to create the protein structure and OPLS4 force field was used for energy minimization. The maestro builder panel’s “Ligprep”, “Receptor Grid Generation” and “Ligand Docking” modules were then used to prepare ligands, receptor grids and to perform docking respectively. MMGBSA was performed on the “prime MMGBSA” segment. Using the “Qikprop” setting in the maestro panel, a number of ADMET properties were predicted, and the program was run in default mode using vsgb as the solvation model.
Abstract licence: CC BY 4.0
F. Bailey, A. Davies
Palliative Medicine, 2008
- Substance-Related Disorders
- Antiemetics
- Cyclizine
Yin‐Che Lu, Chen‐Yu Chiang, Yu‐Wei Hsu, et al.
Environmental Toxicology, 2024
- Cyclizine
- Mitochondrial Diseases
- Macrophages
Nane İD, Çubuk Demiralay E, Daldal YD
2024
In this study, protonation constant values and liquid chromatographic behaviors of hydrophobic cyclizine, chlorcyclizine, hydroxyzine, cinnarizine, cetirizine, meclizine, and buclizine in some water-organic solvent binary mixtures were examined for the first time using classical and green reverse phase liquid chromatography methods. In the isocratic study, the relationship of the retention time and mobile phase pH in water-organic solvent binary mixtures containing acetonitrile (45, 50, 55, 60, 65%, v/v), methanol (60, 65, 70, 75%, v/v) and ethanol (45, 50, 55, 56, 59, 60, 62, 65%, v/v) were determined at 37 °C. In the study, XBridge C18 and Gemini NX C18 columns suitable for the chemical properties of basic compounds were used. The obtained liquid chromatographic data were analyzed using the linear solvation energy relationship methodology and the SOLVER program. The aqueous protonation constant values of the investigated compounds were calculated using the linear relationship between the protonation constant data calculated in studied binary mixtures and some macroscopic constant values of the solvents used. The greenness of methods developed using three different solvents was evaluated with the Analytical Greenness Metric Approach, the Green Analytical Procedures Index, and the Green Solvent Selection Tool approaches.
Abstract licence: CC BY
Hao‐Min Wu, Chen‐Yu Chiang, Wen‐Ying Chen, et al.
Environmental Toxicology, 2023
- NF-kappa B
- Proto-Oncogene Proteins c-akt
- Anti-Inflammatory Agents
Ahmed Gamal Mohamed Abdelkhalk
Cureus, 2026
Farzana Virani, Melinda Presland
BMJ Supportive & Palliative Care, 2023
- Antiemetics
- Palliative Medicine
- Vomiting
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
1 found
Half-life
20 hours
Mechanism
Vomiting (emesis) is essentially a protective mechanism for removing irritant or…
Food interactions
2 warnings
Human targets
2 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Half-life
20 hours
Metabolism
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 1121 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:33828102 PMID:8280179
Through the H1 receptor, histamine mediates the contraction of smooth muscles and increases capillary permeability due to contraction of terminal venules. Also mediates neurotransmission in the central nervous system and thereby regulates circadian rhythms, emotional and locomotor activities as well as cognitive functions (By similarity)
PMID:11006110 PMID:11884392 PMID:7779757
Is a key enzyme in estrogen homeostasis, the sulfation of estrogens leads to their inactivation. Also sulfates dehydroepiandrosterone (DHEA), pregnenolone, (24S)-hydroxycholesterol and xenobiotic compounds like ethinylestradiol, equalenin, diethyl stilbesterol and 1-naphthol at significantly lower efficiency .
PMID:11006110 PMID:19589875
Does not sulfonate cortisol, testosterone and dopamine .
PMID:11006110 PMID:7779757
May play a role in gut microbiota-host metabolic interaction. O-sulfonates 4-ethylphenol (4-EP), a dietary tyrosine-derived metabolite produced by gut bacteria.
The product 4-EPS crosses the blood-brain barrier and may negatively regulate oligodendrocyte maturation and myelination, affecting the functional connectivity of different brain regions associated with the limbic system
Enzymes involved in drug metabolism — important for understanding drug interactions
Proteins that carry this drug through the body
PMID:19021548
Major calcium and magnesium transporter in plasma, binds approximately 45% of circulating calcium and magnesium in plasma (By similarity).
Potentially has more than two calcium-binding sites and might additionally bind calcium in a non-specific manner (By similarity). The shared binding site between zinc and calcium at residue Asp-273 suggests a crosstalk between zinc and calcium transport in the blood (By similarity). The rank order of affinity is zinc > calcium > magnesium (By similarity).
Binds to the bacterial siderophore enterobactin and inhibits enterobactin-mediated iron uptake of E.coli from ferric transferrin, and may thereby limit the utilization of iron and growth of enteric bacteria such as E.coli .
PMID:6234017
Does not prevent iron uptake by the bacterial siderophore aerobactin PMID:6234017
ATC R06AE03
ATC R06AE53
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Cyclizine
Additional database identifiers
Drugs Product Database (DPD)
9111
Drugs Product Database (DPD)
9109
ChemSpider
6470
ZINC
ZINC000019156872
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5182
GenAtlas
HRH1
GeneCards
HRH1
GenBank Gene Database
Z34897
GenBank Protein Database
510296
Guide to Pharmacology
262
UniProt Accession
HRH1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:11377
GenAtlas
SULT1E1
GeneCards
SULT1E1
GenBank Gene Database
U08098
GenBank Protein Database
488283
UniProt Accession
ST1E1_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:399
GenAtlas
ALB
GeneCards
ALB
GenBank Gene Database
V00494
GenBank Protein Database
28590
UniProt Accession
ALBU_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite the following publications:
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Structured knowledge from the free knowledge base
ATC classifications (Wikidata)
Linked open data from Wikidata (Q867308), 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.