Agomelatine 25mg tablets
Requires a prescription from a doctor or prescriber
Agomelatine is structurally closely related to melatonin.
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MHRA alerts for Agomelatine
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 Agomelatine
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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 Agomelatine
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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.
14 branded products available
MHRA licensed products
View all licensed products for Agomelatine on the MHRA register
Valdoxan 25mg tablets
Valdoxan 25mg tablets
Agomelatine 25mg tablets
Agomelatine 25mg tablets
Agomelatine 25mg tablets
Agomelatine 25mg 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)
25 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
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(2)
Agomelatine for the treatment of major depressive episodes (terminated appraisal) (TA231)
Vortioxetine for treating major depressive episodes (TA367)
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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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
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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. 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: 33 · Randomised trials: 12 · 2007–2026
Showing the 50 most relevant studies, sorted by most relevant.
Pillinger T, Arumuham A, McCutcheon RA, et al.
2025
- Antidepressive Agents
- Blood Pressure
- Heart Rate
BackgroundAntidepressants induce physiological alterations; however, the degree to which these occur in treatment with various antidepressants is unclear. We aimed to compare and rank antidepressants based on physiological side-effects by synthesising data from randomised controlled trials (RCTs).MethodsWe searched MEDLINE, EMBASE, PsycINFO, ClinicalTrials.gov, and the US Food and Drug Administration (FDA) website from database inception to April 21, 2025. We included single-blinded and double-blinded RCTs comparing antidepressants and placebo in acute monotherapy of any psychiatric disorder. We did frequentist random-effects network meta-analyses to investigate treatment-induced changes in weight; total cholesterol; glucose; heart rate; systolic and diastolic blood pressure; corrected QT interval (QTc); sodium; potassium; aspartate transferase (AST); alanine transaminase (ALT); alkaline phosphatase (ALP); bilirubin; urea; and creatinine. We did meta-regressions to examine study-level associations between physiological change and age, sex, and baseline weight. We estimated the correlation between depressive symptom severity change and metabolic parameter change.FindingsOf 26 252 citations, 151 studies and 17 FDA reports met inclusion criteria. The overall sample included 58 534 participants, comparing 30 antidepressants with placebo. Median treatment duration was 8 weeks (IQR 6·0-8·5). We observed clinically significant differences between antidepressants in terms of metabolic and haemodynamic effects, including an approximate 4 kg difference in weight-change between agomelatine and maprotiline, over 21 beats-per-minute difference in heart rate change between fluvoxamine and nortriptyline, and over 11 mmHg difference in systolic blood pressure between nortriptyline and doxepin. Paroxetine, duloxetine, desvenlafaxine, and venlafaxine were associated with increases in total cholesterol and, for duloxetine, glucose concentrations, despite all drugs reducing bodyweight. There was strong evidence of duloxetine, desvenlafaxine, and levomilnacipran increasing AST, ALT, and ALP concentrations, although the magnitudes of these alterations were not considered clinically significant. We did not find strong evidence of any antidepressant affecting QTc, or concentrations of sodium, potassium, urea, and creatinine to a clinically significant extent. Higher baseline bodyweight was associated with larger antidepressant-induced increases in systolic blood pressure, ALT, and AST, and higher baseline age was associated with larger antidepressant-induced increases in glucose. We did not observe an association between changes in depressive symptoms and metabolic disturbance.InterpretationWe found strong evidence that antidepressants differ markedly in their physiological effects, particularly for cardiometabolic parameters. Treatment guidelines should be updated to reflect differences in physiological risk, but choice of antidepressant should be made on an individual basis, considering clinical presentation and preferences of patients, carers, and clinicians.FundingNational Institute for Health Research, Maudsley Charity, Wellcome Trust, Medical Research Council.
Abstract licence: CC BY
Yicong Chen, Jianle Li, Mengshi Liao, et al.
International Clinical Psychopharmacology, 2023
Miłosz Nesterowicz, K. Lauko, M. Żendzian-Piotrowska, et al.
Frontiers in Psychiatry, 2023
De Luca B, Canozzi A, Mosconi C, et al.
2025
- Antidepressive Agents
- Depressive Disorder
- Comorbidity
BackgroundAntidepressants are effective for depression, but most evidence excludes individuals with comorbid physical conditions.AimsTo assess antidepressants' efficacy and tolerability in individuals with depression and comorbid physical conditions.MethodsSystematic review and network meta-analysis of randomised controlled trials (RCTs). Co-primary outcomes were efficacy on depressive symptoms and tolerability (participants dropping out because of adverse events). Bias was assessed with the Cochrane Risk-of-Bias 2 tool and certainty of estimates with the Confidence in Network Meta-Analysis approach. A study protocol was registered in advance (https://osf.io/9cjhe/).ResultsOf the 115 included RCTs, 104 contributed to efficacy (7714 participants) and 82 to tolerability (6083 participants). The mean age was 55.7 years and 51.9% of participants were female. Neurological and cardiocirculatory conditions were the most represented (26.1% and 18.3% of RCTs, respectively). The following antidepressants were more effective than placebo: imipramine, nortriptyline, amitriptyline, desipramine, sertraline, paroxetine, citalopram, fluoxetine, escitalopram, mianserin, mirtazapine and agomelatine, with standardised mean differences ranging from -1.01 (imipramine) to -0.34 (escitalopram). Sertraline and paroxetine were effective for the largest number of ICD-11 disease subgroups (four out of seven). In terms of tolerability, sertraline, imipramine and nortriptyline were less tolerated than placebo, with relative risks ranging from 1.47 (sertraline) to 3.41 (nortriptyline). For both outcomes, certainty of evidence was 'low' or 'very low' for most comparisons.ConclusionAntidepressants are effective in individuals with comorbid physical conditions, although tolerability is a relevant concern. Selective serotonin reuptake inhibitors (SSRIs) have the best benefit-risk profile, making them suitable as first-line treatments, while tricyclics are highly effective but less tolerated than SSRIs and placebo.
Abstract licence: CC BY
Nelakuditi B, Dandamudi BJ, Dimaano KAM, et al.
2024
The availability and use of melatonin as an over-the-counter supplement have surged significantly in recent years due to the increased prevalence of sleep-wake disorders, notably in the post-COVID-19 era. While melatonin is known for managing insomnia, its applications extend beyond that. Its anti-inflammatory, antioxidant, and analgesic properties, along with increased usage, have garnered significant interest from researchers, particularly regarding its use in migraine prophylaxis and treatment. The aim of this systematic review is to evaluate the role of melatonin as prophylactic therapy for migraine, focusing on the efficacy and side effect profile of melatonin compared to standard therapy and placebo. Six databases were searched through June 2024, identifying 735 relevant articles. Only full-text randomized control trials involving humans, written or translated into English, were included in the study. Data were extracted, screened, sought for retrieval, and assessed for quality appraisal using the revised Cochrane risk-of-bias tool for randomized trials (RoB 2). A total of seven randomized control trials involving 1,283 participants who met the eligibility criteria and passed the quality appraisal have been included in the study. All seven trials included patients diagnosed with migraine who were treated with either melatonin or agomelatine and were compared to those treated with conventional prophylactic therapy or placebo. The findings of this review suggest that melatonin significantly reduces the frequency and severity of migraines, but its dose-dependent action and benefits remain debatable. Melatonin may also have a role in weight control, warranting additional research in this direction.
Abstract licence: CC BY
Zhang X, Chen Y, Deng R, et al.
2026
- Sleep Initiation and Maintenance Disorders
- Acetamides
- Trazodone
Background and purposeInsomnia is a common symptom in depressive disorder, affecting up to 80% of those patients. Evidences suggest that sleep symptom improvements could alleviating depressive symptoms and reducing relapse. This article evaluated the efficacy of three antidepressants-agomelatine, mirtazapine, and trazodone-in treating insomnia symptoms in depressed patients, with a focus on polysomnographic (PSG) data, subjective sleep experience, improvement in depressive symptoms, and adverse drug reactions.MethodsA systematic search of PubMed, Cochrane Library, MEDLINE, Embase, and Web of Science was conducted for studies published from 1974 to August 2025; 30 studies (16 randomized controlled trials and 14 non-randomized controlled trials) were included. The primary outcomes were PSG measures; secondary outcomes included PSQI and HAMD scores, as well as adverse medication reactions.ResultsThe PSG results showed that agomelatine may not significantly change percentage N1 of sleep period time (N1%) and Latency of REM sleep (L-REM). Mirtazapine significantly increased total sleep time (TST), slow-wave sleep of sleep period time (SWS%), and sleep efficiency (SE%), while reducing percentage wake after sleep onset of sleep period time (WASO%). Trazodone notably improved TST, and SE%. For adverse effects, agomelatine was well-tolerated; mirtazapine commonly caused weight gain and sedation; and trazodone frequently led to dizziness, sedation, headache, nausea, and somnolence.ConclusionAll three medications significantly enhance subjective sleep perception and alleviate depressive symptoms. However, agomelatine may lack a definitive effect on improving objective sleep parameters in depressed patients. Future studies should involve larger, high-quality trials with unified methodologies to strengthen the reliability of conclusions.
Abstract licence: CC BY
Klimanova S, Radionov D, Shova N, et al.
2024
BackgroundDepression is one of the most common mental disorders and is associated with a significant increase in the risk of mental and somatic comorbidities. The chronobiological theory of the pathogenesis of depression explains the relationship between the symptoms of depression and disturbance of circadian rhythm regulation. Disrupted circadian rhythms are also observed in other disorders such as alcohol use disorder, anxiety disorders, epilepsy, and Parkinson's disease. Therefore, there is a growing interest in the use of medications with a melatoninergic mechanism of action in the treatment of depression comorbid with the aforementioned disorders.AimThis review aims to systematically examine the evidence for the use of melatoninergic antidepressants (agomelatine and fluvoxamine) in the treatment of depression comorbid with alcohol abuse, anxiety disorders (including phobic anxiety, panic, and generalized anxiety disorders), or neuropsychiatric disorders (such as epilepsy and Parkinson's disease).MethodsThis systematic review included experimental studies, systematic reviews, and meta-analyses published in English and Russian, which examined the use of fluvoxamine and agomelatine in adult patients with recurrent depressive disorder (ICD-10) or major depressive disorder (DSM-5) comorbid with alcohol abuse, anxiety or neuropsychiatric disorders. The search was conducted in the PubMed, Cochrane Library and eLIBRARY scientific databases. The quality of the selected studies was assessed using the Cochrane Risk of Bias tool, which is used to evaluate the risk of systematic errors in clinical studies. The results were presented as a narrative synthesis and grouped by the comorbidities evaluated.ResultsA total of 20 articles were reviewed (with a pooled sample size of n=1,833 participants). The results suggest that melatoninergic antidepressants might help in reducing depressive and anxiety symptoms, improve sleep, decrease alcohol cravings, and alleviate the severity of motor symptoms in Parkinson's disease. Moreover, the use of pharmacogenetic testing to select the medication and dosage may enhance its therapeutic effectiveness.ConclusionThe review demonstrates a significant lack of clinical data and guidelines on the use of melatoninergic medications for the treatment of depression comorbid with other disorders. In this regard, it is currently difficult to draw a definitive conclusion regarding the efficacy and safety of agomelatine and fluvoxamine in the treatment of these comorbidities. Available studies suggest an improvement in the clinical manifestations of the comorbidities. Future research directions might include the development and implementation of double-blind, randomized clinical trials to study the use of melatoninergic medications in patients with depression comorbid with other disorders.
Abstract licence: CC BY
Fuglsang NFB, Madsen NM, Jacobsen SL, et al.
2025
- Sleep Initiation and Maintenance Disorders
- Hypnotics and Sedatives
- Bipolar Disorder
BackgroundA wide range of drugs is used to alleviate insomnia symptoms in individuals with severe mental illness (SMI), including licensed drugs and sedating drugs prescribed off-label. Yet, no review has gathered the evidence on illness-specific or transdiagnostic outcomes of pharmacological interventions for insomnia. We aimed to perform a systematic review and meta-analysis of randomised controlled trials (RCTs) studying the efficacy and acceptability of pharmacological interventions for insomnia among individuals with SMI, defined as schizophrenia, bipolar disorder (BD) or major depressive disorder (MDD).MethodsWe searched for RCTs of pharmacological interventions for insomnia that used either placebo or another medication as inactive control or active comparator. Two independent reviewers performed the literature screening, data extraction and risk of bias assessment (RoB2). We performed random effects meta-analyses on the co-primary outcomes total sleep time (TST), sleep quality and acceptability (all-cause discontinuation) and the secondary outcomes safety and tolerability.ResultsThe search identified 3331 hits, of which 25 RCTs (n = 2476 individuals) were included, with 18 RCTs (n = 2199) in MDD, 4 RCTs (n = 162) in BD and 3 RCTs (n = 115) in schizophrenia. Of 25 RCTs, 22 had a high risk of bias. The most frequently studied drugs were agomelatine (RCTs = 3, n = 686), eszopiclone (RCTs = 3, n = 599) and zolpidem (RCTs = 3, n = 601). Compared to placebo, pharmacological interventions for insomnia were associated with improved sleep quality by a small effect size (RCTs = 8, g = 0.24, 95% CI = 0.05-0.43) and improved TST (RCTs = 10, MD = 30.82 min, 95% CI = 19.13-42.50), with similar acceptability (RCTs = 10, RR = 1.06, 95% CI = 0.90-1.25).DiscussionDespite their frequent use, many licensed and off-label pharmacological interventions for insomnia have never been investigated in patients with SMI. The studies that provided sufficient data for meta-analysis showed better efficacy with similar acceptability compared to placebo, but the generalizability of these results is limited by the high heterogeneity and low quality of the included studies. This underscores the need for high-quality RCTs to provide a better scientific basis for the pharmacological treatment of insomnia in SMI.Trial registrationCRD42023413787.
Abstract licence: CC BY-NC
Stefanou A, Anastasiou I, Fallon P, et al.
2026
- Sleep Initiation and Maintenance Disorders
- Acetamides
- Hypnotics and Sedatives
Li J, Luo H, Luo Q
2024
- Acetamides
- Antidepressive Agents
- Bipolar Disorder
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
2 hours
Mechanism
The novel antidepressant agent, agomelatine, behaves as an agonist at melatonin…
Food interactions
None known
Human targets
3 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
5%
Half-life
2 hours
Protein binding
95%
Metabolism
90%
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
The development for the US market was discontinued in October 2011. It is currently sold in Australia under the Valdoxan trade name.
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1035 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:12970106 PMID:18703043 PMID:19057895 PMID:29398112 PMID:7895773
Also functions as a receptor for various drugs and psychoactive substances, including ergot alkaloid derivatives, 1-2,5,-dimethoxy-4-iodophenyl-2-aminopropane (DOI) and lysergic acid diethylamide (LSD) .
PMID:19057895 PMID:29398112
Ligand binding causes a conformation change that triggers signaling via guanine nucleotide-binding proteins (G proteins) and modulates the activity of downstream effectors .
PMID:18703043 PMID:29398112
HTR2C is coupled to G(q)/G(11) G alpha proteins and activates phospholipase C-beta, releasing diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (IP3) second messengers that modulate the activity of phosphatidylinositol 3-kinase and promote the release of Ca(2+) ions from intracellular stores, respectively .
PMID:18703043 PMID:29398112
Beta-arrestin family members inhibit signaling via G proteins and mediate activation of alternative signaling pathways .
PMID:29398112
Regulates neuronal activity via the activation of short transient receptor potential calcium channels in the brain, and thereby modulates the activation of pro-opiomelanocortin neurons and the release of CRH that then regulates the release of corticosterone (By similarity). Plays a role in the regulation of appetite and eating behavior, responses to anxiogenic stimuli and stress (By similarity). Plays a role in insulin sensitivity and glucose homeostasis (By similarity)
Possibly involved in sleep induction, by melatonin activation of the potassium channel KCNMA1/BK and the dissociation of G-beta and G-gamma subunits, thereby decreasing synaptic transmission (By similarity)
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC N06AX22
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)
Agomelatine
Additional database identifiers
ChemSpider
74141
BindingDB
50035179
PDB
AWY
ZINC
ZINC000000005608
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5295
GenAtlas
HTR2C
GeneCards
HTR2C
GenBank Gene Database
M81778
GenBank Protein Database
338028
Guide to Pharmacology
8
UniProt Accession
5HT2C_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7463
GenAtlas
MTNR1A
GeneCards
MTNR1A
GenBank Gene Database
U14108
GenBank Protein Database
602130
Guide to Pharmacology
287
UniProt Accession
MTR1A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7464
GenAtlas
MTNR1B
GeneCards
MTNR1B
GenBank Gene Database
U25341
GenBank Protein Database
971194
Guide to Pharmacology
288
UniProt Accession
MTR1B_HUMAN
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: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