Product Images Mineral Oil

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Product Label Images

The following 2 images provide visual information about the product associated with Mineral Oil NDC 54162-175 by Geritrex Llc, 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 description - Clean Copy Mineral Oil Enema 4.5 LABEL PROOF 1

image description - Clean Copy   Mineral Oil Enema 4.5 LABEL PROOF 1

Mineral Oil Enema is a soft lubricated tip used to soften and lubricate stool to provide relief from occasional constipation. This sodium and latex-free solution is for rectal usage and is used to cleanse the bowel and remove residue after barium enema administration. Excess dosage of this enema can be harmful, and it's advised to use only one enema in 24 hours. When using any other drugs, it's better to ask your doctor or pharmacist before use. Pregnant and breastfeeding women should seek the advice of a medical professional before using this product.*

image description - Clean Copy Mineral Oil Enema Chipboard BOX

image description - Clean Copy Mineral Oil Enema  Chipboard BOX

This is a description of a mineral oil enema made by Geritrex. It is a lubricant laxative used for the relief of occasional constipation. The product has a soft lubricated tip and is sodium and latex-free. Each bottle contains 4.5 fl. oz of the solution. The drug facts section states that the active ingredient is Mineral Ol USP 100%, which works as a lubricant laxative by softening the stool. The usage instructions advise users to insert the tip into the rectum and squeeze the solution gently. It is essential not to use more than one enema in 24 hours, and if serious side effects occur, the user should contact a doctor immediately. This product should be stored at room temperature, and pregnant women or breastfeeding women should consult a health professional before use.*

* 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.