Product Images The Magic Bullet

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Product Label Images

The following 2 images provide visual information about the product associated with The Magic Bullet NDC 57648-002 by Concepts In Confidence, 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.

image of carton - image 01

image of carton - image 01

The Magic Bullet Laxative Suppositories contain 10 mg Bisacodyl USP and are a stimulant laxative used rectally for the relief of occasional constipation. These suppositories generally produce bowel movements in 15 minutes to one hour. The product is not recommended for use in the presence of nausea, vomiting, rectal bleeding, in children under six years of age, or for more than one week unless directed by a doctor. It may cause abdominal discomfort, faintness, rectal burning, and mild cramps. If rectal bleeding occurs or if there is no bowel movement after using a laxative, consumers are advised to stop use and consult a doctor. The package includes 100 suppositories, each containing 10 mg Bisacodyl USP, and it is tamper-resistant. The directions include inserting the suppository into the rectum, and children under six are advised to consult a doctor. Inactive ingredients include polyethylene glycol and propylene glycol diacetate.*

image 02

image 02

This is a drug information label that gives details about a product used to relieve occasional constipation in adults and children aged six years and above. The product contains Bisacodyl, which is a stimulant that stimulates bowel movements within 16 minutes to an hour. The label contains warnings about using the product in the presence of some symptoms and the importance of consulting a doctor if certain conditions arise. The label also provides information on how to use the product, dosages for different age categories, and possible side effects.*

* 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.