Product Images Telmisartan And Amlodipine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 9 images provide visual information about the product associated with Telmisartan And Amlodipine NDC 46708-186 by Alembic Pharmaceuticals Limited, 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.
40 mg 10 mg 80's carton - telmiamlo 4010mg
This is a description of a medication package containing tablets of Telmisartan and Amlodipine. The tablets are in the strength of 40mg/10mg and come in a package of 80 tablets, divided into 10 blister cards of 8 tablets each. The package has a size of 122 x 86 x 90 mm and carries a batch number and an expiry date. The text also includes some random characters and words that can be attributed to errors, and thus, do not provide useful information.*
40 mg 5 mg 80's carton - telmiamlo 405mg
This is a description of Telmisartan and Amlodipine Tablets, a medication that comes in the form of tablets. The text includes information about the dosage of the medication and its size as well as a unique batch number and expiry date. However, the text also includes some unrelated characters and words that seem to be generated by an tool, making the overall description confusing and not very useful.*
80 mg 10 mg 60's carton - telmiamlo 8010mg
This appears to be a mix of different text fragments that do not form a coherent description or message. Some of the text contains alphanumeric codes, while other parts seem to be related to pharmaceutical products, with information such as tablet dosage, batch number, and expiry date. Overall, it's not possible to generate a useful description based on this text.*
80 mg 5 mg 60's carton - telmiamlo 805mg
Structure - telmiamlo amlo
Figure - telmiamlo figure
Peal - telmiamlo peal
Tear - telmiamlo tear
Structure - telmiamlo telmi
* 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.