Lbl20mg30
Telmisartan Tablet
Product Images NDC 68462-201
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Telmisartan (NDC 68462-201). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Glenmark Pharmaceuticals Inc., Usa, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Lbl40mg30
This is a description for Telmisartan Tablets, which are moisture-sensitive and come in a bottle of 30 tablets. The tablets should not be removed from the bottle until just before being taken. The NDC number is 68462-200-30 and they are made by Glenmark. Reading the rest of the text gives no additional useful information.*
Lbl80mg30
This is a description of a medication called Telmisartan. The medication comes in the form of tablets, and the package holds 30 of them, with 80mg each. It is important to note that these tablets are sensitive to moisture, and they should only be removed from the bottle shortly before they are to be taken. The text includes a National Drug Code (NDC) of 68462-201-30, as well as the medication's brand name, Glenmark. The remaining text appears to be random characters and numbers, and is not available for translation.*
Image 1
Telmisartan is a medication used to treat high blood pressure. It belongs to a class of drugs called angiotensin II receptor blockers (ARBs) that work by relaxing blood vessels, allowing blood to flow more easily. It may also be prescribed to reduce the risk of stroke, heart attack, or death in certain patients with heart disease. Telmisartan is taken orally and is available in tablet form.*
Image 2
Logo
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Structure
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
