Product Images Cefpodoxime Proxetil

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Product Label Images

The following 4 images provide visual information about the product associated with Cefpodoxime Proxetil NDC 0781-5439 by Sandoz Inc, 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 tab 01

cefpodoxime tab 01

cefpodoxime tab 02

cefpodoxime tab 02

Cefpodoxime Proxetil is a prescription medication available in the form of film-coated tablets in the strength of 100 mg. It is used for treating bacterial infections. The tablets are manufactured by Sandoz GmbH in Austria and distributed in the US by Sandoz Inc. The medication needs to be kept in a tightly closed container, protected from light and at a controlled room temperature between 20°C to 25°C (68°F to 77°F). It is important to follow the instructions provided in the package insert.*

cefpodoxime tab 03

cefpodoxime tab 03

This is a description for Cefpodoxime Proxetil 200mg tablets, manufactured by Sandoz GmbH for Sandoz Inc. The tablets come in a package of 20 and are only available with a prescription. Each tablet is film-coated and contains 200mg of Cefpodoxime Proxetil. Storage instructions and precautions are given on the package. Please refer to the package insert for complete product information.*

image 01

image 01

NDC 0781-5439-01 is a prescription drug containing cefpodoxime proxetil as the main ingredient. It is available in tablet form, each containing 200 mg. The tablets are film-coated and should be stored at 20° to 25°C. They are manufactured by Sandoz GmbH and sold under the brand name SANDOZ. The package insert contains complete information about the product. It is important to note that this pharmacy bulk package is not child-resistant and must be dispensed in a tight, light-resistant container with a child-resistant closure.*

* 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.