Aramark Ibuprofen
Product Images NDC 81238-0103

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Aramark Ibuprofen (NDC 81238-0103). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Western First Aid Safety Dba Aramark, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

0103 100 Tab Box (0103 100 Tab Box)

0103 100 Tab Box (0103 100 Tab Box)
This appears to be a product label. It identifies the product as Ibuprofen, and provides a code "1008E" and a manufacturer's name "Aranarc". Not much contextual information can be gathered from this text alone.*
FDA Label Image

0103 2-tab Packet (0103 2 Tab Packet)

0103 2-tab Packet (0103 2 Tab Packet)
This is a medication called Ibuprofen, manufactured by Aramark. The medication contains 200mg of Ibuprofen, a nonsteroidal anti-inflammatory drug used for pain relief and fever reduction. The medication should be used in the treatment of common ailments such as back pain, menstrual cramps, headaches and arthritis. It is important to note that this medication may cause stomach bleeding, especially for individuals who are 60 years and above, those with stomach ulcers, those who take blood thinning medications or those who take other drugs in addition to ibuprofen. The medication should be used as directed, with one tablet taken every 4 to 6 hours, and not more than six tablets taken in twenty four hours. The medication should be kept out of reach of children and should not be used if package seal is broken.*
FDA Label Image

0103 250 Tab Box (0103 250 Tab Box)

0103 250 Tab Box (0103 250 Tab Box)

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