Sibutramine 10mg capsules
Sibutramine (trade name Meridia in the USA, Reductil in Europe and other countries), usually as sibutramide hydrochloride monohydrate, is an orally administered agent for the treatment of obesity.
Genetic variations that may affect drug response
1 known genetic variation may influence how your body responds to Sibutramine 10mg capsules.Gene involved: GNB3
These are known genetic variations. They don't mean the medicine won't work for you — speak to your doctor or a pharmacogenomics specialist for personalised advice. Source: DrugBank (CC BY-NC 4.0).
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 Sibutramine
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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.
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Suspected adverse reactions reported for Sibutramine
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.
5 branded products available
WHO defined daily dose (DDD)
10 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 23 studies.
Reviews & meta-analyses: 4 · Randomised trials: 1 · 2003–2026
Showing all 23 studies, sorted by most relevant.
Steven J. McNulty, Ehud Ur, Gareth Williams
Diabetes Care, 2003
- Obesity
- Appetite Depressants
- Blood Glucose
Phan DTA, Kongkaew C, Heinrich M, et al.
2025
Introduction: The World Health Organization has identified obesity as an escalating public health concern affecting millions globally, contributing to the increasing demand for anti-obesity supplements. Traditional medicinal systems, such as Ayurveda and Traditional Chinese Medicine, have historically incorporated botanicals for weight management within a holistic therapeutic framework. However, the widespread commercialization of herbal weight-loss products has resulted in misrepresentation of traditional knowledge and the frequent adulteration of these formulations with synthetic pharmaceuticals to enhance their effectiveness. This phenomenon not only raises ethical concerns regarding the exploitation of traditional medicine but also presents significant health risks to consumers. Objectives: In order to develop a longer-term strategy to overcome the challenges of poor quality and adulterated products making medical claims, this study aims to (1) estimate the prevalence of pharmaceutical adulteration in weight-loss natural products; and (2) examine the characteristics of such adulterations. Methods: A systematic search of PubMed, CINAHL, and Google Scholar was conducted to identify relevant studies up to July 2024. The Der Simonian-Laird random-effects model was used for data pooling. Subgroup analyses and a meta-regression model were utilized to explore potential sources of heterogeneity. The quality of the included studies was assessed using the Toxicological Data Reliability Assessment Tool (ToxRTool). Results: A total of 26 studies qualified for the systematic review, while 22 studies were included in the meta-analysis. The estimated prevalence of synthetic adulteration exhibited significant variability, ranging from 0% to 100%, with an overall pooled median estimate of 37.5% (Interquartile range (IQR) 25.9%-49.6%). The prevalence of sibutramine adulteration was found to have a median rate of 21.8% (IQR 11.9%-33.5%). The subgroup analysis revealed a high prevalence of synthetic adulteration in Europe, particularly during the years 2012-2014, with a notable occurrence in samples collected from local markets. Conclusion: This systematic review and meta-analysis highlights the high prevalence of intentional adulteration in weight-loss natural products, with sibutramine as the most common adulterant. To protect public health and market integrity, a global framework is needed, emphasizing harmonized regulations, international collaboration, and public awareness. Future research should assess long-term health effects to ensure sustainable and safe healthcare solutions worldwide.
Abstract licence: CC BY
Yang S, Xin S, Ju R, et al.
2025
- Anti-Obesity Agents
- Pediatric Obesity
- Network Meta-Analysis as Topic
BACKGROUND: Obesity significantly impacts the health outcomes of children and adolescents, necessitating a comprehensive study to evaluate the effects of various anti-obesity medications (AOMs) on weight-related and metabolic outcomes. METHODS: PubMed, EMBASE, and CENTRAL were searched for studies published up to January 3, 2024. We performed a network meta-analysis on randomized clinical trials that compared various treatments for pediatric and adolescent obesity, such as phentermine/topiramate, semaglutide, exenatide, liraglutide, topiramate, metformin, fluoxetine, metformin/fluoxetine, sibutramine, and orlistat. The study evaluated body mass index (BMI), BMI percentage change, weight, BMI-SDS, waist circumference, metabolic, anthropometric, and safety outcomes. RESULTS: The study gathered 2733 studies, including 30 articles that involved 3822 participants. The results of our research showed that PHEN/TPM was better at lowering BMI than exenatide, liraglutide, metformin, fluoxetine, Met/Flu, topiramate, orlistat, and sibutramine, with mean differences (MD) ranging from -10.29 to -1.28. Additionally, semaglutide demonstrated superior efficacy over other AOMs (MD ranged from -8.28 to -1.24). Various levels of certainty, ranging from very low to moderate, supported the findings. Furthermore, semaglutide demonstrated superior efficacy over exenatide (MD-12.43, 95% CI -23.95 to -0.30) regarding percentage change in BMI. Semaglutide also showed enhanced weight reduction effectiveness compared to seven other AOMs except for PHEN/TPM (MD ranging from -15.56 to -12.65). Similarly, PHEN/TPM displayed greater weight reduction effectiveness than seven other AOMs, except for semaglutide (MD ranged from -12.17 to -9.27). Moreover, semaglutide proved more effective in decreasing waist circumference when compared with other AOMs apart from PHEN/TPM (MD ranged from -11.61 to -6.07). Similarly, we found that PHEN/TPM, excluding semaglutide and sibutramine, was more effective in reducing waist circumference (MD ranged from -8.64 to -5.51). CONCLUSIONS: The study found that semaglutide outperformed other AOMs in reducing BMI and additional weight-related outcomes in children and adolescents with obesity, while PHEN/TPM showed comparable efficacy.
Abstract licence: CC BY
Gabriela Masiero Marcon, Jhonatan Mendes Paiva, Mariana Delariva Sakiyama, et al.
Brazilian Journal of Pharmaceutical Sciences, 2025
Abstract To synthesize the evidence about pharmacologic treatment of obesity and overweight and to define the options with the best risk-benefit using the stochastic analysis of multicriteria acceptability (SMAA). The analysis addresses a systematic review (PROSPERO CRD42023423308) whose research was realized in PubMed, Scopus, and Web of Science. Randomized controlled trials were included, which verified the effects of sibutramine, orlistat, liraglutide, and semaglutide in patients with IMC ≥ 26 Kg/ m². The risk of bias analysis was performed with RoB 2.0 and the outcomes evaluated were weight loss and serious adverse events. A total of 102 studies with 45.047 participants were included. The network meta-analysis revealed that all the treatments were significantly more effective than the placebo in weight reduction. The use of semaglutide (especially 0.4 mg/day) was associated with a bigger weight loss in comparison to all the other treatments (p<0.05) and the analysis of SMAA showed a risk-benefit of 95%. Besides that, we suggest re-evaluating of sibutramine 10mg/day as a therapeutic option for patients without hypertension or cardiovascular diseases, and we demonstrate the modest weight loss promoted by orlistat 120mg, sibutramine 5mg, and liraglutide 1,8mg and advise against its use, once the benefits do not outweigh the risks.
Abstract licence: CC BY
A. De Vincentis, C. Pedone, U. Vespasiani‐Gentilucci, et al.
Current pharmaceutical design, 2017
- Body Weight
- C-Reactive Protein
- Cyclobutanes
W. James, I. Caterson, W. Coutinho, et al.
The New England journal of medicine, 2010
- Appetite Depressants
- Blood Pressure
- Cardiovascular Diseases
Nur Çebi, M. Yılmaz, O. Sağdıç
Food chemistry, 2017
- Coffee
- Cyclobutanes
- Food Contamination
V. R. Kozhuharov, K. Ivanov, D. Karcheva-Bahchevanska, et al.
Processes, 2023
The use of dietary supplements (DSs) has dramatically increased in recent decades. However, around 20% of these products are reported to contain pharmacologically active undeclared compounds, most of which could expose consumers to serious side effects. According to recent data, some of the most commonly detected undeclared compounds are also considered doping and are prohibited by the World Anti-Doping Agency (WADA). One of the most frequently detected undeclared substances in DSs used for promoting weight loss is sibutramine. In 2011, all medicines containing sibutramine were urgently withdrawn from Europe and US markets because of serious side effects. In the present study, in order to detect and quantify sibutramine in DSs, a rapid, sensitive, and reliable gas chromatography with mass spectrometry (GC-MS) method was developed. The method was validated according to the ICH guidelines and demonstrated good linearity, accuracy, precision, and robustness. The limits of detection and quantification were 0.181 μg/mL and 0.5488 μg/mL, respectively. The method was applied to analyze 50 DSs promoting weight loss, fat burning, and performance enhancement. Sibutramine was detected in six of them in a range of 16.59–14,854.94 μg/per capsule. The high concentrations of sibutramine detected in some samples raise concerns about the potential health risks associated with the use of adulterated DSs. The proposed GC-MS method could be used successfully in the quality control of DSs or in different research programs, contributing to safety and the prevention of associated side effects.
Abstract licence: CC BY
Nisachon Praoboon, Tanin Tangkuaram, V. Kruefu, et al.
Microchimica Acta, 2023
- Graphite
- Nanotubes, Carbon
- Cyclobutanes
Ronghui Wan, Huaxiong Song, G. Qu, et al.
International Journal of Legal Medicine, 2024
- Cyclobutanes
- Heart Diseases
- Shock, Cardiogenic
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
191 found
Half-life
1.1 hours
Mechanism
Sibutramine produces its therapeutic effects by inhibition of norepinephrine (NE…
Food interactions
None known
Human targets
3 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
77%
Half-life
1.1 hours
Protein binding
97%
Metabolism
Elimination
85%
Clearance
1750 L/h
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 1683 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
The primary route of excretion for M1 and M2 is hepatic metabolism and for M5 and M6 is renal excretion.
Proteins and enzymes this drug interacts with in the body
PMID:10375632 PMID:11093780 PMID:1406597 PMID:15505207 PMID:19478460 PMID:39112701 PMID:39112703 PMID:39112705 PMID:8302271
Also mediates sodium- and chloride-dependent transport of norepinephrine (also known as noradrenaline) (By similarity). Regulator of light-dependent retinal hyaloid vessel regression, downstream of OPN5 signaling (By similarity)
PMID:10407194 PMID:12869649 PMID:21730057 PMID:27049939 PMID:27756841 PMID:34851672
Essential for serotonin homeostasis in the central nervous system. In the developing somatosensory cortex, acts in glutamatergic neurons to control serotonin uptake and its trophic functions accounting for proper spatial organization of cortical neurons and elaboration of sensory circuits.
In the mature cortex, acts primarily in brainstem raphe neurons to mediate serotonin uptake from the synaptic cleft back into the pre-synaptic terminal thus terminating serotonin signaling at the synapse (By similarity). Modulates mucosal serotonin levels in the gastrointestinal tract through uptake and clearance of serotonin in enterocytes. Required for enteric neurogenesis and gastrointestinal reflexes (By similarity).
Regulates blood serotonin levels by ensuring rapid high affinity uptake of serotonin from plasma to platelets, where it is further stored in dense granules via vesicular monoamine transporters and then released upon stimulation .
PMID:17506858 PMID:18317590
Mechanistically, the transport cycle starts with an outward-open conformation having Na1(+) and Cl(-) sites occupied. The binding of a second extracellular Na2(+) ion and serotonin substrate leads to structural changes to outward-occluded to inward-occluded to inward-open, where the Na2(+) ion and serotonin are released into the cytosol. Binding of intracellular K(+) ion induces conformational transitions to inward-occluded to outward-open and completes the cycle by releasing K(+) possibly together with a proton bound to Asp-98 into the extracellular compartment.
Na1(+) and Cl(-) ions remain bound throughout the transport cycle .
PMID:10407194 PMID:12869649 PMID:21730057 PMID:27049939 PMID:27756841 PMID:34851672
Additionally, displays serotonin-induced channel-like conductance for monovalent cations, mainly Na(+) ions. The channel activity is uncoupled from the transport cycle and may contribute to the membrane resting potential or excitability (By similarity)
PMID:2008212 PMID:8125921 PMID:38750358
Is responsible for norepinephrine re-uptake and clearance from the synaptic cleft, thus playing a crucial role in norepinephrine inactivation and homeostasis (By similarity). Can also mediate sodium- and chloride-dependent transport of dopamine PMID:11093780 PMID:8125921 PMID:39395208 PMID:39048818
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC A08AA10
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)
Sibutramine
Additional database identifiers
Drugs Product Database (DPD)
12050
ChemSpider
5021
BindingDB
84742
Guide to Pharmacology
2586
HUGO Gene Nomenclature Committee (HGNC)
HGNC:11049
GenAtlas
SLC6A3
GeneCards
SLC6A3
GenBank Gene Database
M96670
GenBank Protein Database
553260
Guide to Pharmacology
927
UniProt Accession
SC6A3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:11050
GenAtlas
SLC6A4
GeneCards
SLC6A4
GenBank Gene Database
X70697
GenBank Protein Database
36433
Guide to Pharmacology
928
UniProt Accession
SC6A4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:11048
GenAtlas
SLC6A2
GeneCards
SLC6A2
GenBank Gene Database
M65105
GenBank Protein Database
189258
Guide to Pharmacology
926
UniProt Accession
SC6A2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_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 (Q424151), 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.