Product Images Naproxen
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Naproxen NDC 50268-594 by Avpak, 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.
Label 1 - Label 5026859415 250mg Naproxen 2016.09
This is a description of a medicine called Naproxen in the form of tablets, USP. It comes in packs of 50 tablets (5 X 10) and is only available through prescription. The tablets have the code number 5026859415 and the National Drug Code (NDC) 5026869415. The dosage of the medicine is not clear as there are some jumbled characters and symbols.*
Label 2 - Label 5026859515 375mg Naproxen 2015.01
This is a description of two different products of Naproxen Tablets, USP with different NDC codes and pack sizes. The first product has an NDC code of 50268-595-15 and comes in a pack of 50 tablets (5 x 10) which are unit-dose tablets for prescription-only use. The second product has an NDC code of 50268-695-15, also comprising of 50 tablets (5x10) for prescription use only. The manufacturer of both products is Avkare.*
Label 3 - Label 5026859615 500mg Naproxen 2018.07
This is a description of Naproxen tablets, a prescription-only medicine with 50 tablets in each unit dose package. The suggested dosage is 500mg. The medication should be stored at a temperature range of 20° to 25°C (68° to 77°F) with short excursions allowed to 15° to 30°C (58° to 86°F) according to the USP Controlled Room Temperature criteria. The manufacturer is AVKARE, Inc. This product contains RxOnly medication and should be kept away from children. The pharmacist should dispense a medication guide with every prescription. However, some of the text may be incomplete or hard to decipher.*
Formula structure - naproxen tablets usp 1
* 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.