Product Images Naproxen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Naproxen NDC 42549-592 by Stat Rx Usa Llc, 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.

Naproxen 500mg Label Image - Naproxen 500mg Label 42549

Naproxen 500mg Label Image - Naproxen 500mg Label 42549

This is a medication package for Naproxen, USP 500mg, produced by Glenmark Generics in the USA. It contains a table of the medication. The package was distributed in Gainesville and has an NDC code of 42549-502-30. The remaining text appears to be unrelated or unreadable.*

Naproxen Sod 550mg Label Image - Naproxen 550mg Label 42549

Naproxen Sod 550mg Label Image - Naproxen 550mg Label 42549

This is a description of a medication called Haproxen Sodium from the manufacturer Glenmark Generics based in Mahwah, NJ. It is a tablet containing 550mg of the medication. There is also information about the lot number and a suggested use date. However, there is also errors present such as "Packagedand", "Gainesyills", and "BRSTAT RUSA gane" which make the description slightly unclear.*

Structural formula for Naproxen and Naproxen Sodium - naproxen 1

Structural formula for Naproxen and Naproxen Sodium - naproxen 1

The text seems to be discussing the molecular structures of naproxen and naproxen sodium. The formula and mol weight of each substance are provided. Naproxen has the molecular formula C,Hy, Oy and a mol weight of 123026, while naproxen sodium has the molecular formula Cy4H;gNaOy and a mol weight of 252.23. The last line is not readable.*

Glenmark Logo - naproxen 2

Glenmark Logo - naproxen 2

Breakline - naproxen 3

Breakline - naproxen 3

Breakline - naproxen 4

Breakline - naproxen 4

Glenmark Logo - naproxen 5

Glenmark Logo - naproxen 5

* 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.