Equaline Acetaminophen Tablet
Product Images NDC 41163-363

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Equaline Acetaminophen (NDC 41163-363). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by United Natural Foods, Inc. Dba Unfi, 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

Acetaminophen Caplets Image 1 (484 El Acetaminophen Caplets Image 1)

Acetaminophen Caplets Image 1 (484 El Acetaminophen Caplets Image 1)
This appears to be a comparison between two products: Tylenol Extra Strength Acetaminophen Caplets, which come in a bottle of 250, and an alternative product whose name is cut off, labeled as "compareto" and also in a bottle of 250 caplets. Both are marketed as pain relievers/fever reducers for adults and contain 500mg of acetaminophen per caplet. The Tylenol product is labeled as "aspirin-free." No other information is available.*
FDA Label Image

Acetaminophen Caplets Image 2 (484 El Acetaminophen Caplets Image 2)

Acetaminophen Caplets Image 2 (484 El Acetaminophen Caplets Image 2)
This is a product description of an extra-strength acetaminophen brand called Equaline. Each caplet contains 500mg of Acetaminophen, a pain reliever/fever reducer that temporarily relieves headaches, toothaches, menstrual cramps, muscular aches, backache, osteoarthritis, and reduces fever. The product should not be used with other acetaminophen-containing products, and an overdose can cause severe liver damage. The product is not recommended for children under 12 years of age. The text also contains some jumbled characters that do not make sense and are not useful.*

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