Product Images Salsalate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Salsalate NDC 10135-492 by Marlex 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.

chemical structure for salsalate - salsalate 01

chemical structure for salsalate - salsalate 01

MARLEX PHARMACEUTICALS, INC.NDC 10135-492-10Salsalate Tablets, USP 500 mg Rx ONLY 1000 TABLETS - salsalate 02

MARLEX PHARMACEUTICALS, INC.NDC 10135-492-10Salsalate Tablets, USP 500 mg Rx ONLY 1000 TABLETS - salsalate 02

Marlex Pharmaceuticals, Inc. produces tablets of Salealate ol e containing Salsalate, USP of 500mg. The tablets should be stored at a temperature of 20°C to 25°C, and excursions are permitted to 15-30°C within Controlled Room Temperature as per USP guidelines. The recommended dosage should be taken as per package insert. NDC 10135-0492-10 is the product code with 1000 tablets in one pack.*

MARLEX PHARMACEUTICALS, INC.NDC 10135-493-10Salsalate Tablets, USP 750 mg Rx ONLY 1000 CAPLETS** (Capsule-Shaped Tablets) - salsalate 03

MARLEX PHARMACEUTICALS, INC.NDC 10135-493-10Salsalate Tablets, USP 750 mg Rx ONLY 1000 CAPLETS** (Capsule-Shaped Tablets) - salsalate 03

This is a description of Marlex Pharmaceuticals' Salsalate tablet with a strength of 750mg, containing Salsalate, USP as an active ingredient. The product comes in a bottle containing 1000 capsule-shaped tablets and has an NDC code of 10135-493-10. It is recommended to store the product within a temperature range of 20°C to 25°C (68-77'F), with excursions permitted to 15-30°C (59-86'F). The full details of the dosage can be found in the package insert. The product is exclusively for Rx use only. However, due to the quality of the , some parts of the text are not readable.*

* 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.