Product Images Atenolol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Atenolol NDC 51079-684 by Mylan Institutional 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.

Structural Formula - 7ed0ad64 ba3e 427b bcff 80374aa0cd0b 01

Structural Formula - 7ed0ad64 ba3e 427b bcff 80374aa0cd0b 01

The text represents a chemical formula: C14H22N203 is the molecular formula of a compound that contains atoms of carbon (C), hydrogen (H), nitrogen (N) and oxygen (O). The text before the formula consists of abbreviations for various groups that are attached to the main molecular structure.*

Atenolol 25 mg Tablets Unit Carton Label - image 01

Atenolol 25 mg Tablets Unit Carton Label - image 01

This is a description of the medicine Atenolol. The medicine is in the form of tablets and has a strength of 25. The NDC code for the medicine is 51079-759-20. The manufacturer of this medicine is Yt PRt.*

Unit Carton - image 02

Unit Carton - image 02

This is a product description for Atenolol Tablets, USP with National Drug Code (NDC) 51079-684. It includes information on usage direction and manufacturer details.*

Atenolol 50 mg Tablets Unit Carton Label - image 03

Atenolol 50 mg Tablets Unit Carton Label - image 03

This is a prescription drug with NDC number 51079-685-20 called Atenolol available in tablet form. The tablets come in two strengths, 50mg and 100mg. The manufacturer name seems to be "Mylan" and there is some information about storage requirements. The rest of the text is not readable.*

Unit Carton - image 04

Unit Carton - image 04

Atenolol 100 mg Tablets Unit Carton Label - image 05

Atenolol 100 mg Tablets Unit Carton Label - image 05

Unit Carton - image 06

Unit Carton - image 06

* 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.