Cefoxitin 2g powder for solution for injection vials
Requires a prescription from a doctor or prescriber
Cefoxitin is a semi-synthetic, broad-spectrum cepha antibiotic for intravenous administration.
Official documents, adverse reaction reporting, and safety monitoring
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Official medicine documents
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Drug safety updates
MHRA alerts for Cefoxitin
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 Cefoxitin
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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 Cefoxitin
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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.
4 branded products available
MHRA licensed products
View all licensed products for Cefoxitin on the MHRA register
Renoxitin 2g powder for solution for injection vials
WHO defined daily dose (DDD)
6 gram
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
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: 3 · Randomised trials: 7 · 1974–2026
Showing the 50 most relevant studies, sorted by most relevant.
M. D'Angelica, Ryan J. Ellis, Jason B Liu, et al.
JAMA, 2023
Srivastava S, Gumbo T
2026
- Lung Diseases
- Anti-Bacterial Agents
- Mycobacterium Infections, Nontuberculous
Guideline-based combination therapy achieves sputum culture conversion rates in 23%-34% of patients with Mycobacterium abscessus-complex lung disease. Thus, new therapies are needed. We performed a systematic review to validate and benchmark the hollow fiber system model of M. abscessus lung disease for drug development. We performed a literature search to identify all published hollow fiber system pharmacokinetic-pharmacodynamic studies. Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used for bias minimization. A total of 12 studies were identified. The average quality score was 13.7 out of 21. Eight were monotherapy (exposure-effect and dose-fractionation), one double β-lactam, and three guideline-based therapy studies. For omadacycline and imipenem, hollow fiber system data were accompanied by clinical real-world evidence confirmation. Microbial kill was always terminated by antimicrobial resistance. We used quantitative analyses to rank drugs' efficacy based on CFU/mL kill below day 0 bacterial burden normalized to multi-drug guideline-based therapy kill. The highest-ranked drugs were sulbactam-durlobactam-ceftriaxone (177-fold), epetraborole (15-fold), and omadacycline (7-fold) better than guideline-based therapy. We used the target exposures identified in the systematic analysis in Monte Carlo experiments to identify optimal doses for inhaled formulations. The optimal inhalational dose of imipenem was 250 mg/day, for tigecycline 4 mg/day, for cefoxitin 50 mg/day, and for amikacin liposome inhalation suspension 590 mg once weekly. The hollow fiber system model of M. abscessus lung disease is tractable for exposure-effect, dose-fractionation, and factorial design combination studies. It could also be used to rank drugs and inform on which drugs to test in novel combinations.IMPORTANCECurrent treatments for Mycobacterium abscessus lung disease fail in 70%-80% of patients and are toxic. The hollow fiber system has been used to study old and new potential treatments for this disease. We performed a systematic review of this methodology, for lessons learned. We found 12 studies, which were of adequate quality. Efficacy was always terminated by antimicrobial resistance. The top three drugs in terms of efficacy were sulbactam-durlobactam-ceftriaxone, epetraborole, and omadacycline, which were 7 to 177 times better than standard of care. These drugs could be combined into a new treatment regimen better than current treatments. We also calculated new doses for imipenem, tigecycline, cefoxitin, and amikacin when administered as inhalational therapy. The inhaled doses were multiple-fold lower than intravenous ones, which could be less toxic. The hollow fiber system model is an easily managed system from drug development and dose finding for M. abscessus lung disease.
Abstract licence: CC BY
Lee JL, Kim HJ, Kim KM, et al.
2026
Chan K, Palis BE, Thompson VM, et al.
2026
G. Drusano, J. W. Warren, Alfred J. Saah, et al.
Surgery, gynecology & obstetrics, 1982
Prof. Dr. H. Knothe, P. D. P. Shah, Dr. V. Krcmery, et al.
Infection, 1983
Shannon M. Mitchell, J. Ullman, A. Teel, et al.
The Science of the total environment, 2014
A. Felten, Bernadette Grandry, P. Lagrange, et al.
Journal of Clinical Microbiology, 2002
L. Martínez-Martínez, S. Hernández-Allés, S. Albertí, et al.
Antimicrobial Agents and Chemotherapy, 1996
K. Anand, P. Agrawal, Satish Kumar, et al.
Indian journal of medical microbiology, 2009
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
194 found
Half-life
41 to 59 minutes
Mechanism
The bactericidal action of cefoxitin results from inhibition of cell wall synthesis.
Food interactions
None known
Human targets
None mapped
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Half-life
41 to 59 minutes
Metabolism
6-hour
Elimination
6-hour
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 799 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
ATC J01DC01
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)
Cefoxitin
Additional database identifiers
Drugs Product Database (DPD)
11254
ChemSpider
389981
BindingDB
50335563
PDB
CFX
ZINC
ZINC000003830449
GenBank Gene Database
X06480
GenBank Protein Database
41218
UniProt Accession
DACC_ECOLI
GenBank Gene Database
X06479
UniProt Accession
DACA_ECOLI
UniProt Accession
PBP7_ECOLI
GenBank Gene Database
X59460
GenBank Protein Database
41216
UniProt Accession
DACB_ECOLI
GenBank Gene Database
X02164
GenBank Protein Database
581194
UniProt Accession
PBPA_ECOLI
GenBank Gene Database
X02163
GenBank Protein Database
42468
UniProt Accession
PBPB_ECOLI
GenBank Gene Database
K00137
UniProt Accession
FTSI_ECOLI
UniProt Accession
Q75Y35_STREE
GenBank Gene Database
AE007317
GenBank Protein Database
15457529
UniProt Accession
Q7CRA4_STRR6
UniProt Accession
PBP2A_STRR6
GenBank Gene Database
M90527
GenBank Protein Database
153767
UniProt Accession
PBPA_STRR6
GenBank Gene Database
X16022
GenBank Protein Database
984233
UniProt Accession
PBP2_STRR6
GenBank Gene Database
V00093
GenBank Protein Database
39575
UniProt Accession
BLAC_BACLI
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