Product Images Naproxen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Naproxen NDC 72789-003 by Pd-rx Pharmaceuticals, 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.

72789003 label - 72789003

72789003 label - 72789003

This medication is a naproxen tablet with a dosage of 500mg. It is not recommended to consume alcohol while taking this medication, and the tablets should not be crushed or chewed. The medication should be stored according to the package insert and kept out of reach of children. The lot number of the product is H19p23 and it has an expiration date of March 2021. Patients should contact their doctor for advice about any side effects they may experience. The tablet should be taken orally with food up to 2 times a day. The manufacturer of the medication is Oklahoma City, and the packaging contains a National Drug Code (NDC) of 72789-003-60.*

Structural Formula - Naproxen structure

Structural Formula - Naproxen   structure

This text only provides some chemical formulae and abbreviations. It seems to refer to a molecule called naproxen, with a particular molecular structure and weight. However, without further context or information, it is not possible to provide a more detailed or informative description.*

Structural Formula - Naproxen table

Structural Formula - Naproxen   table

This is a comparison table showing the pharmacokinetic properties of Naproxen Delayed-release Tablets and Naproxen Tablets in terms of their peak concentration (Cmax), time to reach peak concentration (Tmax), and area under the curve (AUC) over a period of 12 hours. The dosage for both tablets is 500 mg twice daily. The numbers in brackets represent the coefficient of variation (CV) which is a measure of the variability of the results.*

* 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.