Product Images Arthritis Pain Reliever

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Arthritis Pain Reliever NDC 50268-052 by Avpak, 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.

label 1 - Screen Shot 2016 03 09 at 2.07.36 PM

label 1 - Screen Shot 2016 03 09 at 2.07.36 PM

This appears to be a product information label for a medication called Acetaminophen, which is commonly used as a pain reliever and fever reducer. The tablets are extended-release and come in a bottle containing 50 tablets, with each unit dose containing 5-10 tablets. The product's manufacturer is unclear.*

label 2 - Screen Shot 2016 03 09 at 2.07.43 PM

label 2 - Screen Shot 2016 03 09 at 2.07.43 PM

This appears to be a drug facts label with information about common ailments, pain relief, warnings, and restrictions related to the consumption of the product. It also contains safety warnings of allergic reactions to the drug, and advises consulting a doctor before use if the consumer has liver disease or is taking a blood-thinning drug.*

label 3 - Screen Shot 2016 03 09 at 2.07.58 PM

label 3 - Screen Shot 2016 03 09 at 2.07.58 PM

This is a Drug Facts sheet providing instructions for using a medication, although the name of the medication is not mentioned. A warning is given to avoid overdose and to contact Poison Control for prompt medical attention if this occurs. Patients are instructed not to take more than directed, to swallow the tablets whole, and to avoid exceeding a certain number of tablets in a 24-hour period or using the medication for more than 10 days, unless directed by a doctor. Inactive ingredients are listed and the temperature range for storing the medication is provided. A phone number for questions is given.*

* 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.