Product Images Cozaar

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Cozaar NDC 54868-5077 by Physicians Total Care, 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.

PRINCIPAL DISPLAY PANEL - 100 mg Bottle Label - 2335

PRINCIPAL DISPLAY PANEL - 100 mg Bottle Label - 2335

PRINCIPAL DISPLAY PANEL - 50 mg Bottle Label - 3726

PRINCIPAL DISPLAY PANEL - 50 mg Bottle Label - 3726

PRINCIPAL DISPLAY PANEL - 25 mg Bottle Label - 5077

PRINCIPAL DISPLAY PANEL - 25 mg Bottle Label - 5077

This is a label information of Cozar 25kg medicine, distributed by Physicians Total Care. It comes in a package of 30 tablets, with NDC code 54868-5077-0. The lot number is ot6e and the expiration date is 01/60. The rest of the text is not useful to provide a description.*

image of losartan potassium chemical structure - cozaar 01

image of losartan potassium chemical structure - cozaar 01

Image of Figure 1 - cozaar 02

Image of Figure 1 - cozaar 02

Image of Figure 2 - cozaar 03

Image of Figure 2 - cozaar 03

Image of Figure 3 - cozaar 04

Image of Figure 3 - cozaar 04

This is a chart showing data for a Primary Composite Stroke (Fatal/Non-fatal) study. The chart provides information on age, gender, race, diabetes, and history of CVD of the participants. They were divided into groups based on their medication, either COZMR + Alenol or COZAAR + Alenobl. The chart also notes that the data is "adjusted for basal Framingnam sk 2o and evel ofsecro saiogagic et vnticusr hypsricpny."*

Image of Figure 4 - cozaar 05

Image of Figure 4 - cozaar 05

This appears to be a graph or chart showing the percentage of patients with an event, a risk reduction of 16.1%, and a p-value of 0.0022. The labels "CozMAR" and "Placebo" suggest a comparison between two groups, possibly in a medical or pharmaceutical context. However, without more information or context, it is not possible to determine the specific nature or significance of these findings.*

* 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.