Butalbital, Acetaminophen, Caffeine, And Codeine Phosphate
Product Images NDC 0722-7028

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Butalbital, Acetaminophen, Caffeine, And Codeine Phosphate (NDC 0722-7028). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nexgen Pharma, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Bacc 300, 500-count, Container Label (Serialized Bacc 300 500)

This is a prescription drug information sheet for a medication called Butalbital, Acetaminophen, Phosphate Capsules. The medication contains a combination of Butalbital, Acetaminophen, Caffeine, and Codeine Phosphate. It comes in a bottle of 500 capsules and is manufactured by Nexgen Pharma. There is also a product number provided: NDC 0722-7028-05.*

FDA Label Image

Butalbital Sf (Image 01)

FDA Label Image

Acetaminophen Sf (Image 02)

This text provides the chemical formula and molecular weight of a compound. The compound is composed of carbon (C), mercury (Hg), nitrogen (N), and oxygen (O) with a molecular weight of 151.16 grams per mole. It is not possible to determine the specific compound without additional information.*

FDA Label Image

Caffeine Sf (Image 03)

FDA Label Image

Anhydrous Codeine Phosphate Sf (Image 04)

C1H24NO7P anhydrous is a chemical compound with a molecular weight of 397.37.*

FDA Label Image

Bacc 300, 100-count, Container Label (Image 05)

This is a prescription drug called Noc or22702801, which contains a combination of Butalbital, Acetaminophen, Caffeine, and Codeine Phosphate. It comes in capsule form and is manufactured by Nexgen pharma™. The specific dosage of each ingredient is not clear from the text.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.