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 68071-4399 by Nucare 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.

68071 4399 9

68071 4399 9

NuCare Pharmaceuticals, Inc. is a pharmaceutical company that manufactures Losartan Potassium 25mg tablets. The lot and product numbers are provided, as well as an expiration date and the manufacturer's label. The warning to keep the medication out of reach of children and store it at a controlled temperature is also given.*

Figure 1 - losartan fig1

Figure 1 - losartan fig1

The text provides data on the percentage of patients with the primary endpoint for two treatments, Atenolol and Losartan Potassium. It also shows an adjusted risk reduction of 13% with a p-value of 0.021. Additionally, there is a timeline displayed in months. Therefore, this seems to be a clinical study report that measures the efficacy of two different treatments over time.*

Figure 2 - losartan fig2

Figure 2 - losartan fig2

Figure 3 - losartan fig3

Figure 3 - losartan fig3

The text is not readable and appears to be a mix of letters, numbers, and symbols that do not form coherent sentences or words. Therefore, the description cannot be generated.*

Figure-4 - losartan fig4

Figure-4 - losartan fig4

This appears to be a table showing the results of a clinical trial, where 60% of patients with the active drug had an "event", compared to 40% in the placebo group. The risk reduction is reported to be 16.1% with a p-value of 0.022. The drug being tested is likely called "Losttan Potassium".*

Chemical Structure - losartan str

Chemical Structure - losartan str

* 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.