Sulfamethoxazole And Trimethoprim
Product Images NDC 67296-1612

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Sulfamethoxazole And Trimethoprim (NDC 67296-1612). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Redpharm Drug, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Sulf Label (Sdistributi18112014570 0001)

This is a description of a medication containing Sulfamethoxazole and Trimethoprim. There are four different packages available in the series, each containing a different number of tablets, and labeled with a unique NDC number, lot number, and expiration date. The recommended adult dosage is available in the package insert, and the tablets must be stored at a controlled room temperature. The medication is manufactured by Citron Pharma LLC in East Brunswick, NJ, and is distributed by Redpharm Drug in Eden Prairie, MN.*

FDA Label Image

Package Label-principal Display Panel (800 mg/160 mg (100 Tablet Bottle))

Each tablet of this medication contains 800mg sulfamethoxazole USP and 160mg trimethoprim USP. It is essential to see the package insert for full prescribing information including the usual dosage. The tablets should be stored in a controlled room temperature of 20° to 25°C (68° to 77°F) with permitted excursions to 15° to 30°C (59° to 86°F) in a double-strength container that is tight and light-resistant. The medication is manufactured in India and distributed in the USA by Rising Health, LLC. There is a code printed on the medication for identification.*

FDA Label Image

Sulfamethoxazole Chemical Structure (Sulfatrime Str1)

FDA Label Image

Trimethoprim Chemical Structure (Sulfatrime Str2)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.