Product Images Cefpodoxime Proxetil
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Cefpodoxime Proxetil NDC 69292-510 by Amici Pharmaceuticals, Llc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
cefpodoxime-100mg-100tab - cefpodoxime 100mg 100tab
cefpodoxime-100mg-500tab - cefpodoxime 100mg 500tab
Each film-coated tablet contains cefpodoxime proxetil equivalent to cefpodoxime, 100 mg. The usual dosage and packaging information should be consulted. This medication is manufactured by Alkem Laboratories in India and is available in a pack of 500 tablets. The warning on the label states that it contains FDAC Yellow NoS (atrazing) and that it should be kept out of the reach of children. There is additional text but it is not readable.*
cefpodoxime-200mg-100tab - cefpodoxime 200mg 100tab
This is a label of Cefpodoxime Proxetil Tablets, which contains 210mg of Cabodorine. The package is for medical use only and should be kept out of reach of children. It is manufactured by Aborsores L4 and distributed by Anc Pramacouicls LLC. The label also mentions the product's NDC number, quantity information and some warnings. The rest of the text seems to be technical instructions for printing the label.*
cefpodoxime-200mg-500tab - cefpodoxime 200mg 500tab
This text contains information about a drug called Cefpodoxime, which is available in tablet form and is used for certain medical conditions. The dosage and product information of the drug are provided along with some cautionary measures related to its storage and handling. The manufacturer of the drug is Akem Laboratories. The text also includes a warning to keep the drug out of the reach of children.*
cefpodoxime-structure - cefpodoxime structure
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.