Product Images Losartan Potassium

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Product Label Images

The following 7 images provide visual information about the product associated with Losartan Potassium NDC 68788-7737 by Preferred 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.

Losartan Potassium Tab USP 25mb - losartan25mg90s

Losartan Potassium Tab USP 25mb - losartan25mg90s

Losartan Potassium Tab USP 25mg is a medication used to treat high blood pressure and reduce the risk of stroke in patients with high blood pressure and an enlarged heart. Each tablet contains 25mg of losartan potassium, USP. This medication is manufactured by Camber Pharmaceuticals, Inc. and should be stored at controlled room temperature. Losartan Potassium Tab USP 25mg should only be used by the patient for whom it was prescribed and kept out of reach of children. It is white in color with an imprint of "I>." Dosage and frequency of use should be determined by a healthcare provider.*

losartanaddress2 - losartanaddress2

losartanaddress2 - losartanaddress2

losartanfigure1 - losartanfigure1

losartanfigure1 - losartanfigure1

losartanfigure2 - losartanfigure2

losartanfigure2 - losartanfigure2

The given text is a study result that shows an adjusted risk reduction of 26% with a p-value of 0.001, related to the percentage of patients with first-line or fatal stroke over a period of 66 months.*

losartanfigure3 - losartanfigure3

losartanfigure3 - losartanfigure3

losartanfigure4 - losartanfigure4

losartanfigure4 - losartanfigure4

The text is indicating the percentage of patents with some kind of event related to risk reduction (which is 18.1%) and a value of 0022, followed by the word "Months". There isn't enough information to provide further details or context about this data.*

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.