Tolcapone 100mg tablets
Requires a prescription from a doctor or prescriber
Tolcapone is a drug that inhibits the enzyme catechol-O-methyl transferase (COMT).
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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 Tolcapone
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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 Tolcapone
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1 branded products available
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View all licensed products for Tolcapone on the MHRA register
Tasmar 100mg tablets
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)
450 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
Oral liquids
(3)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.
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Codes for healthcare professionals and prescribing systems
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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. 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: 12 · Randomised trials: 4 · 1993–2026
Showing the 50 most relevant studies, sorted by most relevant.
Sarmiento LF, Ríos-Flórez JA, Paez-Ardila HA, et al.
2023
Temporal discounting is a phenomenon where a reward loses its value as a function of time (e.g., a reward is more valuable immediately than when it delays in time). This is a type of intertemporal decision-making that has an association with impulsivity and self-control. Many pathologies exhibit higher discounting rates, meaning they discount more the values of rewards, such as addictive behaviors, bipolar disorder, attention-deficit/hyperactivity disorders, social anxiety disorders, and major depressive disorder, among others; thus, many studies look for the mechanism and neuromodulators of these decisions. This systematic review aims to investigate the association between pharmacological administration and changes in temporal discounting. A search was conducted in PubMed, Scopus, Web of Science, Science Direct and Cochrane. We used the PICO strategy: healthy humans (P-Participants) that received a pharmacological administration (I-Intervention) and the absence of a pharmacological administration or placebo (C-Comparison) to analyze the relationship between the pharmacological administration and the temporal discounting (O-outcome). Nineteen studies fulfilled the inclusion criteria. The most important findings were the involvement of dopamine modulation in a U-shape for choosing the delayed outcome (metoclopradime, haloperidol, and amisulpride). Furthermore, administration of tolcapone and high doses of d-amphetamine produced a preference for the delayed option. There was a time-dependent hydrocortisone effect in the preference for the immediate reward. Thus, it can be concluded that dopamine is a crucial modulator for temporal discounting, especially the D2 receptor, and cortisol also has an important time-dependent role in this type of decision. One of the limitations of this systematic review is the heterogeneity of the drugs used to assess the effect of temporal discounting.
Abstract licence: CC BY
Shim SR, Jung YJ, Kwon KY, et al.
2026
Background and objectivesQuality of life (QoL) is a critical outcome in the management of Parkinson's disease (PD), and is often affected more by non-motor symptoms (NMS) than motor features. While monoamine oxidase-B (MAO-B) and catechol-O-methyltransferase (COMT) inhibitors are commonly used with levodopa, their comparative impacts on QoL remains unclear. This study aimed to compare the effects of MAO-B and COMT inhibitors on global and domain-specific QoL in patients with PD using a Bayesian network meta-analysis (NMA).MethodsA comprehensive literature search was conducted using PubMed/Medline, Cochrane Library and Embase databases from the inception through April 30, 2025. Randomized controlled trials evaluating QoL using PDQ-39 or PDQ-8 in patients treated with MAO-B inhibitors (rasagiline, selegiline, safinamide) or COMT inhibitors (entacapone, opicapone, tolcapone) were included. A Bayesian NMA was performed using the "gemtc" package in R. Treatment effects were expressed as standardized mean differences (SMDs) with 95% credible intervals (CrIs). Treatment ranking was estimated using surface under the cumulative ranking curve (SUCRA) values.ResultsSixteen RCTs comprised of 3,802 patients were included. The combination of extended-release rasagiline and pramipexole (P2B001) showed the most significant improvement in global QoL (SMD = -4.16; 95% CrI: -7.24 to -1.05), followed by rasagiline monotherapy (SMD = -2.38; 95% CrI: -4.32 to -0.42). Safinamide 100 mg significantly improved emotional well-being (SMD = -2.56; 95% CrI: -5.13 to -0.04). SUCRA rankings confirmed the superior probability of benefits for rasagiline-based interventions across multiple QoL dimensions.ConclusionThis network meta-analysis provides evidence that MAO-B inhibitors, particularly rasagiline and safinamide, may offer broader QoL benefits in patients with PD, especially in NMS such as emotional well-being. These findings support a more symptom-oriented and individualized treatment approach should be provided to patients with PD. Further well-designed head-to-head studies using standardized QoL measures and extended follow-up are needed to confirm these findings and guide clinical practice.Systematic review registrationRegistered in PROSPERO (CRD420251013028): https://www.crd.york.ac.uk/PROSPERO/view/CRD420251013028.
Abstract licence: CC BY
Stanley Fahn
Neurology, 1998
- Catechol O-Methyltransferase Inhibitors
- Tolcapone
- Antiparkinson Agents
C. Warren Olanow
Archives of Neurology, 2000
- Tolcapone
- Antiparkinson Agents
- Benzophenones
Reichmann H
2023
- Parkinson Disease
- Levodopa
- Carbidopa
An important aim in long-term levodopa therapy is to prolong the duration of symptomatic efficacy of each dose without increasing peak plasma concentrations above the threshold for the emergence of dyskinesias. One strategy is to enhance levodopa delivery to the brain by co-administering it with inhibitors of peripheral dopa-decarboxylase and catechol-O-methyltransferase (COMT). Levodopa, carbidopa and entacapone (LCE), available in a range of fixed-dose combinations as the branded formulation Stalevo® (Orion Pharma), has been developed to address this requirement and has been in general use for 20 years, having first been evaluated in randomized controlled trials. Experience with LCE has established that improved levodopa pharmacokinetics achieved with dual-enzyme inhibition are translated into improved clinical efficacy, including the possibility of reducing total levodopa dosage with no loss of therapeutic effect. The ease and tolerability of switching to LCE has been affirmed in the SIMCOM trial and by personal experience detailed in this review. Some 300,000 patient-years of safety data are available for LCE, including trial data for up to 5 years. Most adverse effects associated with LCE are attributable to the levodopa component rather than the enzyme inhibitors. The hepatotoxicity observed with the class comparator tolcapone has not been observed with entacapone, the COMT inhibitor in LCE, and there is no formal requirement to monitor liver function during LCE therapy. Other common side effects include diarrhoea, which is one of the more prominent non-dopaminergic adverse events, and urine discolouration, which is harmless but about which patients may require reassurance.
Abstract licence: Public domain
Ricardo Sant’Anna, Pablo Gallego, Lei Z. Robinson, et al.
Nature Communications, 2016
- Tolcapone
- Benzophenones
- Cell Line
William C. Koller, Andrew John Lees, Miroslava Doder, et al.
Movement Disorders, 2001
- Tolcapone
- Antiparkinson Agents
- Benzophenones
Andrew John Lees
CNS Neuroscience & Therapeutics, 2008
Isravel Antony Danish, Jebasingh Kores Jeyaraj, Sasitha Thangasamy, et al.
Computational and Theoretical Chemistry, 2021
Jose A. Apud, Venkata S. Mattay, Jingshan Chen, et al.
Neuropsychopharmacology, 2006
- Tolcapone
- Benzophenones
- Brain Mapping
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
12 found
Half-life
2-3.5 hours
Mechanism
The precise mechanism of action of tolcapone is unknown, but it is believed to b…
Food interactions
1 warning
Human targets
1 target
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
65%
Half-life
2-3.5 hours
Protein binding
99.9%
Volume of distribution
9 L
Metabolism
Elimination
0.5%
Clearance
7 L/h
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1454 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC N04BX01
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)
Tolcapone
Additional database identifiers
Drugs Product Database (DPD)
11615
ChemSpider
3848682
BindingDB
50108877
PDB
TCW
ZINC
ZINC000035342789
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2228
GenAtlas
COMT
GeneCards
COMT
GenBank Gene Database
M65212
GenBank Protein Database
180920
Guide to Pharmacology
2472
UniProt Accession
COMT_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2623
GenAtlas
CYP2C9
GeneCards
CYP2C9
GenBank Gene Database
AY341248
Guide to Pharmacology
1326
UniProt Accession
CP2C9_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