Zuclopenthixol acetate 50mg/1ml solution for injection ampoules
Requires a prescription from a doctor or prescriber
Zuclopenthixol, also known as Zuclopentixol or Zuclopenthixolum, is an antipsychotic agent.
Official documents, adverse reaction reporting, and safety monitoring
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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 Zuclopenthixol acetate
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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.
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Suspected adverse reactions reported for Zuclopenthixol acetate
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.
1 branded products available
Part of the Clopixol brand family (generic: Zuclopenthixol acetate)
MHRA licensed products
View all licensed products for Zuclopenthixol acetate on the MHRA register
Clopixol Acuphase 50mg/1ml solution for injection ampoules
This is the NHS Drug Tariff indicative price used for reimbursement purposes. It may not reflect the price paid by patients or pharmacies.
View full Drug TariffSource: NHS Drug Tariff via NHSBSA. Derived from dm+d VMPP (Virtual Medicinal Product Pack) pricing data. Contains public sector information licensed under the Open Government Licence v3.0.
WHO defined daily dose (DDD)
30 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 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
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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. 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: 16 · Randomised trials: 1 · 2016–2026
Showing the 50 most relevant studies, sorted by most relevant.
M. G. González Hernández, E. Canfora, J. Jocken, et al.
Nutrients, 2019
M. D. de Oliveira, A.C.A Cardoso, M. Viana, et al.
Renewable & Sustainable Energy Reviews, 2018
V. Vatanpour, M. Paşaoğlu, Hossein Barzegar, et al.
Chemosphere, 2022
Kamyar Khoshnevisan, H. Maleki, H. Samadian, et al.
Carbohydrate polymers, 2018
Shree Bose, Vijyendra Ramesh, J. Locasale
Trends in cell biology, 2019
Mohammed Ahmad Wsoo, S. Shahir, Siti Pauliena Mohd Bohari, et al.
Carbohydrate research, 2020
N. Yadav, Minna Hakkarainen
Chemosphere, 2020
Śladowska K, Moćko P, Brzostek T, et al.
2025
- Multiple Sclerosis
- Multiple Sclerosis, Relapsing-Remitting
- Immunologic Factors
ObjectiveThis study aimed to review the efficacy and safety profile of disease-modifying therapies (DMTs) in patients with relapsing pediatric-onset multiple sclerosis (POMS).MethodsA systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Published randomized controlled trials (RCTs), nonrandomized studies with a control group, large single-arm studies, and ongoing (unpublished) studies investigating the use of approved and unapproved DMTs in POMS were included. Eligible published studies were identified in MEDLINE (via PubMed), EMBASE, and the Cochrane Library, and unpublished studies were identified in a clinical trials registry (www.Clinicaltrialsgov).ResultsA total of 13 published studies were included in the systematic review: 4 RCTs, 3 observational studies with a control group, and 6 large single-arm studies. The following DMTs for the treatment of POMS were evaluated in the included studies: interferon beta-1a, interferon beta-1b, teriflunomide, dimethyl fumarate, fingolimod, natalizumab, glatiramer acetate, and ocrelizumab. All DMTs were shown to be effective in reducing relapse rates, preventing disability progression, and reducing disease activity in MRI in patients with POMS. DMTs that are considered highly effective in adults with multiple sclerosis (natalizumab, fingolimod) were also shown to be more effective than interferon beta-1a in POMS. A total of 9 ongoing (unpublished) studies were identified, including 5 RCTs. The following drugs were evaluated: ozanimod, fingolimod, peginterferon beta-1a, ocrelizumab, ofatumumab, siponimod, alemtuzumab, and natalizumab.ConclusionThe number of DMTs approved for the treatment of POMS is limited, and some of the available DMTs are used off-label. The available evidence from published studies of varying reliability supports the efficacy of DMTs in POMS. However, well-designed, long-term RCTs in the pediatric population are needed. The results of ongoing studies may fill the existing gap in clinical evidence, possibly leading to the approval of more highly effective DMTs for patients with POMS.
Abstract licence: CC BY-NC-ND
Dirk Kiefer, Manuel Merkel, Lars Lilge, et al.
Trends in biotechnology, 2020
Manzano CL, Sadek A, Cooper C, et al.
2026
- Multiple Sclerosis, Relapsing-Remitting
- Immunologic Factors
- Biosimilar Pharmaceuticals
BackgroundMultiple sclerosis is an immune-mediated inflammatory disease, causing long-term disability in young adults. Most cases begin as relapsing-remitting multiple sclerosis. Some people have a form of relapsing-remitting multiple sclerosis known as highly active relapsing-remitting multiple sclerosis, defined as multiple sclerosis with unchanged or increased disease activity despite prior treatment with at least one disease-modifying therapy.ObjectivesTo appraise the clinical and cost-effectiveness of natalizumab [Tysabri® (Biogen, Cambridge, MA, USA)] and natalizumab biosimilar [Tyruko® (Sandoz)] for treating highly active relapsing-remitting multiple sclerosis compared to other disease-modifying therapy.DesignSystematic review with network meta-analysis and economic model. Searches last updated in April 2024.ResultsWe included 42 studies (22,409 participants): 40 in people with relapsing-remitting multiple sclerosis and 2 in highly active relapsing-remitting multiple sclerosis. Six studies also reported data separately for highly active relapsing-remitting multiple sclerosis. Only four studies evaluated natalizumab or natalizumab biosimilar; none provided data on those with highly active relapsing-remitting multiple sclerosis. Follow-up ranged from 4 to 36 (median 24) months. Most interventions reduced relapses (39 studies, 17 interventions) and magnetic resonance imaging lesions (19 studies, 11 interventions for gadolinium enhancing lesions and 17 studies, 12 interventions for T2-weighted lesions) compared to placebo. Alemtuzumab, ocrelizumab, cladribine, natalizumab, fingolimod and peginterferon beta-1a reduced disease progression compared to placebo (15 studies, 12 interventions). There were no differences in any adverse events (24 studies, 16 interventions), serious adverse events (31 studies, 15 interventions) or treatment-related adverse events (8 studies, no network meta-analysis) for any intervention compared to placebo. Fingolimod, glatiramer acetate, interferon beta-1a, interferon beta-1b and peginterferon beta-1a were associated with an increased treatment discontinuation (29 studies, 13 interventions). There was little evidence for a difference in quality of life. There was no evidence of a difference between natalizumab and natalizumab biosimilar for relapse rates [rate ratio 0.65 (95% credible interval 0.33 to 1.23], gadolinium enhancing lesions [hazard ratio 1.29 (0.69 to 2.37)], T2-weighted lesions [hazard ratio 1.07 (0.73 to 1.57)], any adverse events [hazard ratio 1.06 (0.77 to 1.46)] or treatment discontinuation [hazard ratio 0.48 (0.13 to 1.76)]. Data in highly active relapsing-remitting multiple sclerosis were available for fingolimod, ocrelizumab, alemtuzumab, cladribine, interferon beta, autologous haematopoietic stem cell treatment and placebo. We also included one study on natalizumab conducted in a population that was close to our definition of highly active relapsing-remitting multiple sclerosis. All interventions except interferon beta-1a were associated with reduced relapse risk compared to placebo (six studies; seven interventions). Compared with natalizumab-intravenous, natalizumab biosimilar-intravenous and natalizumab subcutaneous, all treatments had greater net benefit at £20,000-30,000/quality-adjusted life-year, with the only exception being ocrelizumab, which had lower net benefits. Costs were generally higher on natalizumab than other treatments, though there was no difference in quality-adjusted life-years with 95% credible interval completely overlapping. The results and conclusions were unchanged under all sensitivities. VOI analysis found that the greatest contributor to decision uncertainty was the effectiveness of treatments.ConclusionsThere is no direct evidence on the effectiveness of natalizumab or its biosimilar in patients with highly active relapsing-remitting multiple sclerosis. Limited data suggest similar effectiveness in patients with relapsing-remitting multiple sclerosis. The economic model found that natalizumab and natalizumab biosimilar were not cost-effective compared to any of the included comparators in highly active relapsing-remitting multiple sclerosis, with similar quality-adjusted life-years but higher costs, with the only exception being ocrelizumab.Future workThere is need for studies of natalizumab and natalizumab biosimilar in people with highly active relapsing-remitting multiple sclerosis.Study registrationThe study is registered as PROSPERO CRD42024556838.FundingThis award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR165943) and is published in full in Health Technology Assessment; Vol. 30, No. 60. See the NIHR Funding and Awards website for further award information.
Abstract licence: CC BY
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
37 found
Half-life
20 hours
Mechanism
Zuclopenthixol is a typical antipsychotic neuroleptic drug of the thioxanthene class.
Food interactions
2 warnings
Human targets
7 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
Half-life
20 hours
Protein binding
98-99%
Volume of distribution
20 L/kg
Metabolism
Elimination
10%
Clearance
0.9 L
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1779 interactions
Neuroleptic malignant syndrome may occur. Zuclopenthixol may potentiate anticholinergic effects of concurrent medications. Zuclopenthixol has a demonstrated antiemetic effect in animals, and may mask signs of toxicity due to other drug overdoses, or may mask symptoms of disease.
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:21645528
Positively regulates postnatal regression of retinal hyaloid vessels via suppression of VEGFR2/KDR activity, downstream of OPN5 (By similarity)
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC N05AF05
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)
Additional database identifiers
Drugs Product Database (DPD)
11264
Drugs Product Database (DPD)
191
Drugs Product Database (DPD)
190
ChemSpider
4470984
BindingDB
79209
ZINC
ZINC000000601293
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3020
GenAtlas
DRD1
GeneCards
DRD1
GenBank Gene Database
X55760
GenBank Protein Database
30397
Guide to Pharmacology
214
UniProt Accession
DRD1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3026
GenAtlas
DRD5
GeneCards
DRD5
GenBank Gene Database
X58454
GenBank Protein Database
32049
Guide to Pharmacology
218
UniProt Accession
DRD5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3023
GenAtlas
DRD2
GeneCards
DRD2
GenBank Gene Database
M30625
GenBank Protein Database
181432
Guide to Pharmacology
215
UniProt Accession
DRD2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:277
GenAtlas
ADRA1A
GeneCards
ADRA1A
GenBank Gene Database
D25235
GenBank Protein Database
433201
Guide to Pharmacology
22
UniProt Accession
ADA1A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:281
GenAtlas
ADRA2A
GeneCards
ADRA2A
GenBank Gene Database
M23533
GenBank Protein Database
178196
Guide to Pharmacology
25
UniProt Accession
ADA2A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5293
GenAtlas
HTR2A
GeneCards
HTR2A
GenBank Gene Database
S42168
GenBank Protein Database
36431
Guide to Pharmacology
6
UniProt Accession
5HT2A_HUMAN
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:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_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
DrugBank citations
If you use DrugBank data in your research, please cite:
- DrugBank 6.02024Recommended citationKnox C., Wilson M., Klinger C.M., et alDrugBank 6.0: the DrugBank Knowledgebase for 2024Nucleic Acids Res. 2024 Jan 552(D1):D1265-D1275
- DrugBank 5.02018Wishart D.S., Feunang Y.D., Guo A.C., et alDrugBank 5.0: a major update to the DrugBank database for 2018Nucleic Acids Res. 2017 Nov 846(D1):D1074-D1082
- DrugBank 4.02014Law V., Knox C., Djoumbou Y., et alDrugBank 4.0: shedding new light on drug metabolismNucleic Acids Res. 2014 Jan 142(1):D1091-7
- DrugBank 3.02011Knox C., Law V., Jewison T., et alDrugBank 3.0: a comprehensive resource for 'omics' research on drugsNucleic Acids Res. 2011 Jan39(Database issue):D1035-41
- DrugBank 2.02008Wishart D.S., Knox C., Guo A.C., et alDrugBank: a knowledgebase for drugs, drug actions and drug targets.Nucleic Acids Research2008 Jan36(Database issue):D901-6
- DrugBank 1.02006Wishart D.S., Knox C., Guo A.C., et alDrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Research2006 Jan 134(Database issue):D668-72