Product Images Naproxen
View Photos of Packaging, Labels & Appearance
- Structural formula for Naproxen and Naproxen Sodium - 2c4f826c e71b 4462 a025 19730701a9de 01
- Glenmark Logo - 2c4f826c e71b 4462 a025 19730701a9de 02
- Breakline - 2c4f826c e71b 4462 a025 19730701a9de 03
- Breakline - 2c4f826c e71b 4462 a025 19730701a9de 04
- Glenmark Logo - 2c4f826c e71b 4462 a025 19730701a9de 05
- 250 mg - 2c4f826c e71b 4462 a025 19730701a9de 06
- 375 mg - 2c4f826c e71b 4462 a025 19730701a9de 07
- 500 mg - 2c4f826c e71b 4462 a025 19730701a9de 08
Product Label Images
The following 8 images provide visual information about the product associated with Naproxen NDC 67046-500 by Contract Pharmacy Services-pa, 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.
Structural formula for Naproxen and Naproxen Sodium - 2c4f826c e71b 4462 a025 19730701a9de 01
Naproxen is a chemical compound with the molecular formula C,Hy, Oy and has a molar mass of 123026 g/mol. Naproxen sodium is a derivative of naproxen with the molecular formula Cy4H;gNaOy and a molar mass of 252.23 g/mol. The exact value of 'Hy', 'Oy' and 'cHyo' could not be retrieved from the given text.*
Glenmark Logo - 2c4f826c e71b 4462 a025 19730701a9de 02
Breakline - 2c4f826c e71b 4462 a025 19730701a9de 03
Breakline - 2c4f826c e71b 4462 a025 19730701a9de 04
Glenmark Logo - 2c4f826c e71b 4462 a025 19730701a9de 05
250 mg - 2c4f826c e71b 4462 a025 19730701a9de 06
375 mg - 2c4f826c e71b 4462 a025 19730701a9de 07
500 mg - 2c4f826c e71b 4462 a025 19730701a9de 08
The text seems to be a label of a medication called NAPROXEN with a strength of 200 mg. The label includes some codes and numbers, including a batch number, and information about manufacturing and packaging. However, there is not enough information to provide a more detailed description or purpose of the medication.*
* 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.
