Product Images Cefprozil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Cefprozil NDC 68180-401 by Lupin Pharmaceuticals, 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.

image - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 01

image - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 01

Image 1 - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 02

Image 1 - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 02

This text appears to be a medication label or prescription. The label includes information such as the drug name (Cefprozil), the National Drug Code (NDC) number, and instructions for the pharmacist to prepare a suspension. The label also includes dosage information and contact information for the manufacturer, Lupin Pharmaceuticals. The text mentions shaking the suspension before using it. Overall, this is a medication label for oral use.*

Image 2 - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 03

Image 2 - 396227ec 84a8 48c7 9f12 59eb0dd2b40f 03

This is a medication with NDC number 68180-402-01 that needs to be prepared as a suspension before dispensing. The product comes in a bottle of 36ml and after adding water in portions and shaking well for each addition, it provides 50ml of suspension. The suspension should be stored at room temperature and should be discarded 4 months after reconstitution. The product contains 28mg of phenylalanine per dosage and is for oral use only. It is manufactured by Lupin Pharmaceuticals Inc. The accompanying leaflet should be consulted for dosage instructions and warnings for individuals with phenylketonuria. There is also a warning that the product contains shenalaine, which could be harmful in large doses. The label recommends shaking well before using, and there is an area for batch coding.*

* 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.