Product Images Atorvastatin Calcium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Atorvastatin Calcium NDC 72789-089 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.

72789089 Labels - 72789089

72789089 Labels - 72789089

This is a medication package of Atorvastatin Calcium USP containing 30 tablets of 40mg each. The tablets are film-coated and have an oval shape with white color and marked with 'MA 3'. It is advised to keep this package out of the reach of children. The dosage and storage instructions are provided in the package insert. The lot number is F20C70 and the expiration date is 06/2021. The pharmaceutical company is PD-Rx Pharmaceuticals, located in Oklahoma City, OK. The package also includes warnings about side effects and instructions to contact a doctor. The text after the GTIN and SNO numbers seems to be a code, and not useful for understanding the product.*

figure-01 - atorvastatin figure 01

figure-01 - atorvastatin figure 01

figure-02 - atorvastatin figure 02

figure-02 - atorvastatin figure 02

The text provided appears to be a graph or a table with limited recognition. Therefore, it is not possible to generate a useful description.*

figure-03 - atorvastatin figure 03

figure-03 - atorvastatin figure 03

The text describes a table or graph showing the percentage of subjects experiencing an event after taking different doses of atorvastatin. The event is not specified in the given text. It also shows the hazard ratio and P-value for Atorvastatin 80 mg. The graph or table also appears to show the time to the first major cardiovascular endpoint over a four-year period.*

structure - atorvastatin structure

structure - atorvastatin structure

* 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.