Vildagliptin 50mg / Metformin 1g tablets
Requires a prescription from a doctor or prescriber
Official documents, adverse reaction reporting, and safety monitoring
Report a side effect
Submit a Yellow Card report to the MHRA
Official medicine documents
Yellow Card
Report side effects (MHRA)
Drug safety updates
MHRA alerts for Vildagliptin + Metformin
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.
View Drug Analysis Profile
Browse all Drug Analysis Profiles A–Z
Browse all iDAP reports
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.
Search EudraVigilance database
Browse substances A–Z in the European adverse reaction database
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.
14 branded products available
MHRA licensed products
View all licensed products for Vildagliptin + Metformin on the MHRA register
Eucreas 50mg/1000mg tablets
Eucreas 50mg/1000mg tablets
Eucreas 50mg/1000mg tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g tablets
Vildagliptin 50mg / Metformin 1g 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.
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. 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: 13 · Randomised trials: 15 · 1995–2026
Showing the 50 most relevant studies, sorted by most relevant.
D. Matthews, P. Paldánius, Pieter Proot, et al.
Lancet, 2019
Somasundaram N, Kalra S, Shrestha D, et al.
2025
Metformin is a cheap, orally administered, guideline recommended glucose-lowering drug (GLD), initiated as monotherapy in treatment naïve newly diagnosed type 2 diabetes (T2D), and in combination with other GLDs in T2D not controlled on metformin. The unique Asian T2D phenotype that is markedly different than Western population, and warrants T2D treatment approaches unique to the Asian population. However, the bulk of metformin literature is from Western population and may not be generalizable for Asians. The systematic review evaluated the efficacy and safety of metformin monotherapy and combination therapy in Asians. Literature on other GLDs recommended by the 2023 American Diabetes Association guidelines as add-on therapy to metformin were included from Asia. The systematic review concluded that metformin is effective and safe for long-term T2D control of T2D in Asians. Metformin monotherapy may be initiated and continued in treatment naïve Asian patients with T2D and/or obesity if the monotherapy is adequate for achieving glycemic control. Other GLDs may be added for better glycemic control for those who fail on monotherapy. Patients inadequately controlled on another first-line GLD can achieve glycemic control and target HbA1c of <7% by adding metformin in a once daily dose. The use of metformin reduces the risk of hypoglycemia, and its gastrointestinal side effects are mild and manageable in Asians.
Abstract licence: CC BY-NC
Guo Z, Huang L, Jiang Z, et al.
2025
- Diabetes Mellitus, Type 2
- Hypoglycemic Agents
- Insulin-Secreting Cells
AimThis study compared the effects of hypoglycaemic drugs on beta-cell function among type 2 diabetes mellitus (T2DM) patients through a network meta-analysis of randomized controlled trials (RCTs).MethodsWe searched the PubMed, EMBASE, and Cochrane Library databases for RCTs of different hypoglycaemic drugs as T2DM treatment from database inception to December 1, 2024. The primary outcome was homeostasis model assessment-β (HOMA-β), and the secondary outcome was glycated haemoglobin (HbA1c). Direct and indirect evidence types were combined to calculate weighted mean difference (WMD) and 95% confidence interval (CI) values for the change in (△) HOMA-β and △HbA1c, and to determine surface under the cumulative ranking curve (SUCRA) values.ResultsA total of 58 RCTs involving 16,345 T2DM patients were incorporated into this network meta-analysis. The mean patient age was 66.70 years, and 54.14% were male. For improving HOMA-β, the top treatments were glimepiride + rosiglitazone (WMD = 81.83, 95% CI 45.85-117.82) and glibenclamide + rosiglitazone (WMD = 79.51, 95% CI 40.66-118.36). Acarbose (WMD = 60.90, 95% CI 27.56-94.25) ranked third as monotherapy. For reducing HbA1c, glibenclamide + rosiglitazone was the most efficacious treatment (WMD = - 2.48, 95% CI - 3.67 to - 1.29), followed by metformin + exenatide (WMD = - 1.77, 95% CI - 2.25 to - 1.29) and liraglutide (WMD = - 1.77, 95% CI - 2.33 to - 1.21). The treatment with the highest SUCRA value for HOMA-β improvement was glimepiride + rosiglitazone (95.1%), followed by glibenclamide + rosiglitazone (94.9%). For HbA1c improvement, glibenclamide + rosiglitazone had the highest SUCRA value (97.6%).ConclusionsThe combination of glimepiride/glibenclamide and rosiglitazone was the most effective hypoglycaemic regimen for protecting beta-cell function and improving glycaemic control in T2DM treatment, possibly due to control of HbA1c and glycotoxicity.
Abstract licence: CC BY-NC-ND
de Macedo JCC, Guadagnini D, Assalin HB, et al.
2025
- Diabetes Mellitus, Type 2
- Neuroprotective Agents
- Dipeptidyl-Peptidase IV Inhibitors
Dipeptidyl peptidase 4 (DPP-4) inhibitors (DPP-4i) are widely used to treat Type 2 diabetes (T2D) and are known for their cardiovascular and renal safety profiles. Systematic reviews have also shown that DPP-4i are associated with reduced dementia risk via unknown mechanisms. To examine vildagliptin (DPP-4i) effects on the intestinal microbiota in T2D patients, plasma metabolomics were conducted and inflammatory profiles collected to investigate correlations with potential neuroprotective effects. We examined 29 patients with T2D (not well controlled with metformin) before, and at 30 and 60 days after vildagliptin was introduced, and investigated intestinal microbiota, plasma metabolomic, and inflammatory profiles. In patients after 2 months, vildagliptin induced mild microbiota changes, represented by significant increases in Bariatricus and Butyricimonas genera and the Marinifilaceae family (short-chain fatty acids producers), reduced insulin, HOMA-IR, MCP1, and interferon (IFN)-γ levels, and elevated interleukin (IL)-4 and IL-10 levels, all of which represented an anti-inflammatory profile. Metabolomics results showed that leucine, 2-oxoisocaproate (branched-chain amino acid metabolite), and inosine were significantly reduced after vildagliptin was introduced. Additionally, choline, dimethylamine, and betaine levels were significantly higher, which may contribute to explain DPP-4i protective effects against dementia, as these metabolites are neuroprotective. In our T2D patient cohort (not well controlled with metformin), vildagliptin, in addition to improved glucose control and improved insulin resistance, modulated the intestinal microbiota, anti-inflammatory cytokine profiles, and metabolomics, and when combined, may contribute to explain DPP-4i's neuroprotective effects.
Abstract licence: CC BY-NC-ND
Richardson K, Kiptoo J, Mpora Odongkara B, et al.
2026
- Milk, Human
- Diabetes Mellitus, Type 2
- Hypoglycemic Agents
This review evaluates the available pharmacokinetic data on the plasma-to-breastmilk transfer of first- and second-line T2DM drugs against available clinical guideline recommendations. A list of drug therapies for treating T2DM was generated from national and international clinical guidelines. A systematic search of research articles reporting human plasma and breastmilk drug concentrations was conducted in Scopus, PubMed, Google Scholar, and LactMed® in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies evaluating breastmilk drug transfer in T2DM, with fully accessible abstract and main text reported in English, were included. Study quality was evaluated using the ClinPK checklist. Authors evaluated clinical guideline recommendations on the use of T2DM drugs in lactation and the basis upon which such recommendations were made. Only 5 out of 20 drugs (metformin, glyburide, glipizide, tolbutamide, and semaglutide) have clinical data on plasma-to-breastmilk transfer. Metformin and tolbutamide were detectable in maternal plasma and breastmilk. Half (51.7%) of guideline recommendations provide explicit guidance. Only 4.4% of recommendations were based on clinical evidence. Over half (57.8%) of recommendations were accessible online, and most guideline recommendations (78%) were against the use of antiglycemic agents while breastfeeding. The scarce clinical evidence to guide T2DM drug therapy during breastfeeding available has several design and methodological limitations. Published recommendations remain largely inconsistent, thus perpetuating uncertainty in the use of T2DM drug therapies in lactation. Addressing knowledge gaps is critical in developing clinical consensus to optimize T2DM drug therapy among breastfeeding mothers.
Abstract licence: CC BY
Jimoh AO, Hudu SA, Sabir AA, et al.
2026
- Diabetes Mellitus, Type 2
- Metformin
- Hypoglycemic Agents
IntroductionThe management of type 2 diabetes with metformin as the first-line therapy has long been established. However, combination therapy of metformin and other oral antidiabetics became necessary to achieve optimal glycemic targets. Recently, the rising cost of these combinations poses a challenge for the healthcare system and patients, particularly in low- and middle-income settings, highlighting the need to balance clinical benefits with economic considerations to ensure access to treatment while maintaining sustainability in patient care. This review aims to compare the efficacy, safety, and cost-effectiveness of DPP-4 inhibitors with metformin/metformin with other combinations and metformin alone.MethodsA literature search was performed through databases including PubMed, Scopus, Cochrane, clinicaltrials.gov, and Google Scholar using specific keywords on "type 2 diabetes mellitus management," "metformin," "DPP-4 inhibitors," "safety," and "efficacy." The retrieved studies were screened and selected according to eligibility criteria, followed by data extraction and critical appraisal. The extracted data were synthesized and reported according to the PRISMA guidelines.ResultsThirty-five eligible studies were included in the review. From the studies, oral antidiabetic options apart from DPP-4 inhibitors commonly combined with metformin, either as free or fixed-dose combinations, include SGLT-2 inhibitors, sulfonylureas, GLP-1 receptor agonists, insulin, and thiazolidinediones (TZDs). The efficacy of this drug combination is comparable to that of metformin monotherapy, which is more cost-effective, especially at the beginning of treatment. Where metformin monotherapy fails, the efficacy of an add-on therapy as a second line depends on the specific target and individual patient differences, and even triple therapy may be recommended for some individuals. The cost-effectiveness of each combination depended on the cost-effectiveness model used in the assessment and the nature of the healthcare setting.DiscussionDPP-4 inhibitors/metformin demonstrate significant HbA1c reduction, but their low cost-effectiveness hinders patient adherence compared to metformin monotherapy, free drugs, or other combinations. For that, initiating therapy with cost-effective metformin alone is recommended. Manufacturer-funded trials highlight a potential bias, necessitating independent research validations.
Abstract licence: CC BY
Ninsiima HI, Ainamani HE, Ayebazibwe G, et al.
2026
- Diabetes Mellitus, Type 2
- Biguanides
- Metformin
BackgroundType 2 diabetes mellitus (T2DM) represents a systemic disease that extends beyond metabolic dysfunction to include accelerated neurocognitive decline driven by oxidative stress, inflammation, and insulin resistance. Emerging evidence suggests that essential micronutrients may interact synergistically or antagonistically with biguanides, particularly metformin, to influence neurocognitive function. This systematic review synthesized preclinical and clinical evidence on the interactions between essential micronutrients and biguanides (notably metformin) in modulating neurocognitive outcomes in T2DM.MethodsFollowing PRISMA 2020 guidelines, we systematically searched PubMed, Web of Science, and Scopus for studies published between 2010 and 2025. After screening 226 records in Rayyan, 40 studies met the inclusion criteria. Both preclinical and clinical studies were analyzed descriptively to identify patterns of mechanistic and functional outcomes. Extracted data covered intervention types, doses, duration, biomarkers, and cognitive outcomes.ResultsOf the 40 studies, 27 (67.5%) were preclinical and 13 (32.5%) were clinical, spanning 14 countries. Most interventions involved vitamin D, zinc, magnesium, vitamin E, or polyphenols, either alone or combined with metformin. Synergistic effects were observed in 77.5% of studies, with significant improvements in fasting plasma glucose, HbA1c, insulin sensitivity, and oxidative balance. Key molecular pathways involved AMPK, PI3K/Akt, GSK3β, and Nrf2-CREB, which mediated enhanced glucose utilization, mitochondrial function, and synaptic plasticity. Antagonistic effects (10%) were mainly linked to metformin-induced vitamin B12 depletion, which impaired neurotrophic signaling and elevated homocysteine levels. Across studies, neuroprotective benefits correlated with increased BDNF, PSD-95, and SIRT1 expression, and reduced IL-6, TNF-α, and MDA levels.ConclusionMost (75%) of the studies showed a synergistic interaction between biguanides (metformin) and micronutrients save a few that showed antagonistic interaction. Integrating micronutrient supplementation particularly vitamin D, zinc, and antioxidant compounds into T2DM management enhances both metabolic control and cognitive function. These findings support a paradigm shift toward combined nutraceutical-pharmacologic therapy within clinical and public health frameworks. Future research should focus on dose optimization, mechanistic validation, and long-term clinical evaluation to develop evidence-based, nutrition-sensitive diabetes care models.
Abstract licence: CC BY
Selvaraj V
2025
Dipeptidyl peptidase 4 inhibitors (DPP-4 inhibitors) are used as second-line drugs in the treatment of type 2 diabetes mellitus (T2DM) patients. They act by preventing the breakdown of incretin hormones, which enhance insulin secretion and reduce glucagon secretion. Vildagliptin and sitagliptin are more commonly used DPP-4 inhibitors. In recent years, the use of DPP-4 inhibitors has been increasing; hence, it is important to evaluate the comparative efficacy and safety of this medication with available evidence. Moreover, this systematic review will evaluate to look for any specific superiority or safety advantage of using Vildagliptin over other DPP-4 inhibitors. In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review search with Cochrane and PubMed databases. Two independent reviewers examined randomized controlled trial (RCT) studies against the inclusion criteria. Excluded studies involve type 1 diabetes, gestational diabetes, and severe acute diabetic complications. Finally, five RCT studies were chosen, involving 296 participants overall. Baseline and outcome values with p-values and intergroup differences with their p-value from original studies were gathered to evaluate the significance of using vildagliptin over DPP-4 inhibitors, and findings were provided in a narrative way with available evidence. All five RCT studies have demonstrated a significant reduction in HbA1c from baseline, ranging from -0.3 to -1.34 with p-value 0.05 in other DPP-4 inhibitors, with no significant intergroup differences indicating comparable efficacy between vildagliptin and other DPP-4 inhibitors. Similarly, no significant intergroup differences were observed between vildagliptin and comparator agents in reducing fasting plasma glucose and postprandial glucose. Notably, one study reported a significant reduction favoring vildagliptin, while another showed a greater reduction of FPG with alogliptin; however, intergroup comparisons were not statistically significant. In addition, vildagliptin did not show consistent improvement in lipid profile across the involved studies. Vildagliptin showed a low incidence of hypoglycemic events in comparison with other DPP-4 inhibitors. Overall, this systematic review found no significant superiority of vildagliptin over other DPP-4 inhibitors such as sitagliptin and alogliptin in the management of type 2 diabetes mellitus, whether used as monotherapy or in combination therapy.
Abstract licence: CC BY
Wu Y, Wang Z, Tuersun A, et al.
2026
- Prediabetic State
- Hypoglycemic Agents
- Diabetes Mellitus, Type 2
BackgroundPrediabetes refers to the transitional stage from normal glucose metabolism to diabetes. The International Diabetes Federation guidelines reported that, as of 2024, approximately 1.12 billion people globally were in the prediabetes stage. Without intervention, individuals with prediabetes are highly likely to progress to type 2 diabetes mellitus. It can be seen that prediabetes is posing a threat to human health and life and leads to a significant global public health concern.MethodsPubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov were searched before March 29, 2025. Eligible randomized controlled trials (RCTs) enrolled adults with prediabetes, compared the efficacy and safety of placebo and anti-prediabetic drugs (e.g., metformin, sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists, and thiazolidinedione) with a follow-up duration of at least 12 weeks. Bayesian network meta-analysis was employed in statistical analysis.ResultsFifty-five eligible RCTs involving 37 interventions with 16,610 participants were included in this study. Compared with placebo, most anti-prediabetic drugs significantly reduced levels of hemoglobin A1c (HbA1c) (mean difference (MD), - 0.94 ~ - 0.27%), fasting plasma glucose (FPG) (MD, - 26.42 ~ - 0.15 mg/dL), weight loss (WL) (MD, - 13.59 ~ - 5.99 kg) and body mass index (BMI) (MD, - 4.50 ~ - 0.08 kg/m2). Specifically, 2.4 mg of semaglutide SC demonstrated the most optimal efficacy in WL (MD - 13.59 kg; 95% confidence interval (CI) - 17.30 to - 9.91) and favorable efficacy in lowering HbA1c (MD - 0.39%; 95% CI - 0.55 to - 0.25); 15 mg of tirzepatide showed significant efficacy in lowering FPG (MD - 9.58 mg/dL; 95% CI - 12.00 to - 7.15), and potent efficacy in lowering BMI. Thirty milligrams of pioglitazone showed excellent efficacy in lowering lipid and FPG. Among the interventions, there was no significant difference in the incidence of adverse events (AEs), while 100 mg of sitagliptin demonstrated higher incidence of serious adverse events (SAEs).ConclusionsAmong all the included interventions, GLP-1RAs, GIP/GLP-1RAs, and TZDs demonstrated favorable anti-prediabetic efficacy and acceptable safety. 2.4 mg of semaglutide SC and 15 mg of tirzepatide were the best option among the included interventions considering favorable glucose and BMI control.Systematic review registrationPROSPERO CRD42025636991.
Abstract licence: CC BY-NC-ND
de Macedo JCC, Guadagnini D, Assalin HB, et al.
2025
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.
Scientific data (pharmacology, interactions, ADME) is not yet available for this medicine. Clinical sections are sourced from the NHS dm+d database.