Product Images Butalbital, Acetaminophen, And Caffeine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Butalbital, Acetaminophen, And Caffeine NDC 0591-2640 by Actavis Pharma, 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.

Butalbital SF - image 1

Butalbital SF - image 1

This is not a descriptive text. These are technical specifications of a chemical compound, likely a molecular formula and molecular weight. It is not possible to generate a useful description with this information alone.*

Acetaminophen SF - image 2

Acetaminophen SF - image 2

The given text "CgHoNO, MW 151.16" appears to be chemical notation. "CgHoNO" represents a chemical compound or molecule, but without any additional information, it is not identifiable. "MW 151.16" could be the molecular weight or mass of the notation. However, without context, it is not possible to provide a meaningful description. Therefore, the description cannot be generated using this information alone.*

Caffeine SF - image 3

Caffeine SF - image 3

Watson 3 Heads Imprint - image 4

Watson 3 Heads Imprint - image 4

image 100 ct - image 5

image 100 ct - image 5

This is a description of Teva Butalbital, Acetaminophen, and Caffeine Capsules, which are prescription-only drugs, containing Butalbital, Acetaminophen, and Caffeine, USP, with butalbital potentially causing habit-forming. These capsules come in a tight container, and the recommended adult dosage is 1 or 2 capsules every 4 hours, with a total daily dose not exceeding b capsules. LGM Pharma Solutions, LLC manufactures them for Teva Pharmaceuticals USA, Inc. They should be stored at temperatures between 20 to 25°C. A package insert is available for additional prescribing information.*

* 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.