Cephalexin
Product Images NDC 67296-0246

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Cephalexin (NDC 67296-0246). 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

Cephalexin-fig1 (Cephalexin Fig1)

Cephalexin-fig1 (Cephalexin Fig1)
This is a description of Cephalexin capsules with each capsule containing 250mg of Cephalexin monohydrate. It is a medication for treating infections and should be taken one capsule every 6 hours by adults. In severe cases, the dose could be increased to not exceed 4 g a day. It must be stored properly and kept out of children's reach. It is manufactured in India and distributed by Aurobindo Pharma USA, Inc. The NDC for the medication is 65862-018-20.*
FDA Label Image

Package Label- Principal Display Panel (500 mg (20 Capsule Bottle))

Package Label- Principal Display Panel (500 mg (20 Capsule Bottle))
Cephalexin Capsules are a prescription drug used to treat bacterial infections. The drug is available in the form of capsules of which each contains 500 mg cephalexin monohydrate. The typical adult dose is 250 mg every six hours, which can be increased for more severe infections. The medicine is to be kept in tightly closed containers at 20° to 25°C (68° to 77°F), and should be out of the reach of children. The drug is distributed by Aurobindo Pharma USA, Inc., and is made in India. The NDC number for the capsules is 65862-019-20. Detailed instructions and necessary precautions can be found in the enclosed literature.*
FDA Label Image

Structure (Cephalexin Str)

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