Product Images Losartan Potassium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Losartan Potassium NDC 50090-2882 by A-s Medication Solutions, 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.
Label Image - lbl500902622
Label Image - lbl500902656
Label Image - lbl500902882
This appears to be a medication or supplement containing 50mg of potassium, labeled as "TolarTaN". It comes in a bottle containing 30 tablets with a note regarding the product code "i53-0" and "1mc, zotpe". The label also includes information about the pH level ("STonE AT 6.0 7") and possibly a note about being free of something ("FRTEE o").*
Figure1 - losartan fig1
The text appears to be a partial data display of a medical study involving two drugs, Atenolol and Losartan Potassium. The information shown includes the adjusted risk reduction percentage and the study timeline in months. However, without further context or details, it is difficult to provide a specific description or conclusion about the study's findings.*
Figure2 - losartan fig2
Figure 3 - losartan fig3
This appears to be a table or figure displaying the number of primary endpoint events within demographic subgroups. It includes data on age, gender, race, and a history of VD, but the context and larger purpose of the figure or study are not available.*
Figure-4 - losartan fig4
The text appears to be a comparison of patients taking Losttan Potassium versus placebo. It provides the percentage of patients with an event, the risk reduction percentage, and the p-value for the comparison. However, without additional context, it is not possible to determine what type of event or condition is being studied.*
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.