Product Images Losartan Potassium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Losartan Potassium NDC 72789-029 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.

72789029 Label - 72789029

72789029 Label - 72789029

This is a medication package of Losartan Potassium USP 25mg tablets. Each bottle contains 90 film-coated tablets with a lot number and expiration date. The package label indicates dosage and storage warnings. It also advises to contact a doctor for medical advice about side effects and provides a phone number to report adverse effects to the FDA. There are three NDC (National Drug Code) numbers printed on the label.*

losartanfigure1 - losartanfigure1

losartanfigure1 - losartanfigure1

losartanfigure2 - losartanfigure2

losartanfigure2 - losartanfigure2

This text provides information about a study that analyzed the adjusted risk reduction percentage for patients with a certain condition. The risk reduction was found to be 26%, with a significance level of p=0.001. The study tracked patients over the course of several months using the graph provided, but the exact nature of the condition and the intervention is not available.*

losartanfigure3 - losartanfigure3

losartanfigure3 - losartanfigure3

losartanfigure4 - losartanfigure4

losartanfigure4 - losartanfigure4

This text is a table with three columns. The first column contains some percentage values, and the second column contains the text "Risk Reduction". The third column contains some numbers and the word "months". It is not possible to understand the context or the meaning of this table as there is not enough information available.*

losartanstructure - losartanstructure

losartanstructure - losartanstructure

* 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.