Celecoxib Capsule
Product Images NDC 60505-3849

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Celecoxib (NDC 60505-3849). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Apotex Corp., 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

Lbl100mg100s

The text seems to be a description of a medication called "Celecoxib Capsules" with a dosage of 100mg. It also provides information on the manufacturer "APOTEX CORP" and includes instructions for the pharmacist to dispense with the medication guide. However, some of the text appears to be garbled, indicating an error.*

FDA Label Image

Lbl200mg100s

Each capsule contains 200 mg of celecoxib which is a medication used to treat pain and inflammation. It is recommended to store the medication between 20-25°C (68-77°F) and in a tightly closed container. The usual dosage should be followed as per package insert and pharmacist should dispense only with medication guide. This text provides information about the medication including its dosage, storage, and manufacturer details.*

FDA Label Image

Lbl50mg60s

This is a description of a medication in capsule form, containing 50mg of Celecoxib. It is advised to store the capsules between 20-25°C (65-77°F), with excursions possible between 15-30°C (59-86°F). It should be dispensed in a light container. The dosage instructions are available in the package insert. The medication is available in a 60 capsule pack with NDC code 60505-3847-6. The pharmacist must dispense the medication with a Medication Guide available at vl.apotex.com/products/us. This medication is produced by Apotex Corp.*

FDA Label Image

Chemical Structure (Celecoxib 01)

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