Product Images Acetaminophen Gelcaps
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Product Label Images
The following 4 images provide visual information about the product associated with Acetaminophen Gelcaps NDC 11673-674 by Target Corporation, 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.
673T 100ct_LBL - 673T 100ct LBL
This is drug information regarding a product containing acetaminophen in gelcap form. It includes details on dosage, warnings such as liver disease or allergic reactions, guidance on when to consult a doctor, and instructions on usage for adults and children. The product is in gelcap form, with each gelcap containing 500mg of acetaminophen. The text also provides an emergency overdose contact number and storage instructions. Users are advised to keep the product out of children's reach and refrain from using with other medications containing acetaminophen. The contact number for questions or comments is listed. Additionally, the text indicates that it is comparable to the active ingredient in Extra Strength Tylenol.*
673T 225ct_LBL - 673T 225ct LBL
This text presents information on gelcaps containing 500 mg of Acetaminophen, an active ingredient found in Extra Strength Tylenol Rapid Release Gels. It includes details on usage, warnings for individuals with liver disease, correct dosage for adults, potential side effects, overdose warning, inactive ingredients, specifications for storage, and warnings against mixing with other drugs containing acetaminophen. The product is meant to relieve minor aches and pains, reduce fever, and should not be used for more than 10 days without doctor's direction. Contact information for questions or comments is provided, and the product is not affiliated with the manufacturer of Extra Strength Tylenol Rapid Release Gels.*
673T 50ct_IFC - 673T 50ct IFC
673T 50ct_LBL - 673T 50ct LBL
* 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.
