Celecoxib-spl-structure (Celecoxib Spl Structure)
Celecoxib Capsule
Product Images NDC 71209-055
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Celecoxib (NDC 71209-055). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Cadila Pharmaceuticals Limited, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Container-label-100mg-60packs (Container Label 100mg 60packs)
Container-label-200mg-60packs (Container Label 200mg 60packs)
Container-label-400mg-60packs (Container Label 400mg 60packs)
Description:
This is a label for a medication package containing Celecoxib capsules. The package weight is 400 grams and the product number is NOC 71200-057-03. The medication contains 400 mg of Celecoxib. The label also mentions the allowed temperature range for storage between 15 and 30°C. The pharmacist should dispense the medication with the accompanying medication guide and prescribing information. The medication should be kept out of reach of children. The manufacturer is listed as Cadha Pharmaceuticals.*
Container-label-50mg-60packs (Container Label 50mg 60packs)
Each capsule contains 50mg of Celecoxib. The carton is labeled with the product code NoC 71209-054-03. The medication is designed to provide relief to patients with moderate pain. The recommended storage temperature is kept at room temperature as per the USP standards. Pharmacists are advised to dispense the medication with care. Cadila Pharmaceuticals Limited is the manufacturer of the capsules and the brand name is not provided. The label includes a warning to keep the medication out of reach of children. The license number for the manufacturer is 61500.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
