Product Images Celecoxib
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Celecoxib NDC 70518-1346 by Remedyrepack 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.
Celecoxib 200mg 70518 1346 01

This is a description of a medication bottle containing 90 capsules of Celecoxib, each capsule having a strength of 200mg. The label indicates it is only available by prescription, and includes information about the NDC number, lot number, expiration date, and the manufacturing source. The packaging for the medication is done by RemedyRepack Ine. The label advises to keep the medication out of reach of children, and includes directions for use. Proper storage conditions are also mentioned.*
Celecoxib 200mg 70518 1346 02

This is a description of a prescription medication for Celecoxib in capsule form, with a strength of 200 mg and quantity of 60. The NDC number for the source is 33342-0157-15 and the NDC for the repackaged product is 70518-1346-02. The medication should be kept out of reach of children and stored at a temperature of 20-25°C (B-77°F), with excursions allowed between 15-30°C (59-26°F). The manufacturer is Macleods Pharma in Baddi, India. The package insert should be consulted for directions on use.*
Remedy_Label - Remedy Label

This is a prescription medication called Celecoxib, which is a 200mg capsule used to treat inflammation and pain caused by conditions such as arthritis. The medication is packaged with a quantity of 30 capsules and should be stored between 20-25°C. The lot number and expiration date are not readable. The medication was repackaged by RemedyRepack. This medication should be kept out of the reach of children. See package insert for directions for use.*
* 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.