Product Images Torsemide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Torsemide NDC 50268-754 by Avpak, 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 1 - Screen Shot 2014 10 08 at 3.47.40 PM

label 1 - Screen Shot 2014 10 08 at 3.47.40 PM

This text is a description of Torsemide tablets available in a 50-tablet pack. The pack contains 5 x 10 unit doses. The dosage instructions are not available as they are garbled due to errors. The text also contains some alphanumeric codes, probably for internal tracking purposes.*

label 2 - Screen Shot 2014 10 08 at 3.47.50 PM

label 2 - Screen Shot 2014 10 08 at 3.47.50 PM

This is a description of a medication called Torsemide which comes in tablets of 10 mg. There are 50 tablets in each Unit Dose packet. The usual dosage information is not available but it appears to be prescribed for the treatment of some condition. The rest of the text is not readable.*

label 3 - Screen Shot 2014 10 08 at 3.48.00 PM

label 3 - Screen Shot 2014 10 08 at 3.48.00 PM

The text describes Torsemide tablets of 20mg strength being sold by different pharmaceutical companies in different packaging sizes. One company sells it in bottles of 310 tablets, while another sells it in unit doses of 510 tablets. The rest of the text appears to be either incomplete or incomprehensible.*

label 4 - Screen Shot 2014 10 08 at 3.48.10 PM

label 4 - Screen Shot 2014 10 08 at 3.48.10 PM

This is a description of a medication called Torsemide in tablet form, with a strength of 100mg for single use. It comes in a package of 50 tablets, divided into 5 x 10 dose packages. The other text appears to be scrambled and unreadable.*

Structure.jpg - Structure

Structure.jpg - Structure

* 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.