Product Images Docusate Sodium

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Product Label Images

The following image provide visual information about the product associated with Docusate Sodium NDC 48433-101 by Safecor Health, 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.

Docusate soldium 250 mg Unit Dose Box Label - 0c66642c 82cb 42cd 82bb 5f95852cc5d1 01

Docusate soldium 250 mg Unit Dose Box Label - 0c66642c 82cb 42cd 82bb 5f95852cc5d1 01

SAFECER HEALTH offers a solution for occasional constipation with its DOCUSATE SODIUM softgels. Each softgel contains 250mg of Docusate Sodium, a stool softener that helps to prevent dry, hard stools. This product generally produces a bowel movement within 12 to 72 hours. Though it contains 13mg of sodium, the softgels are for institutional use only and are not child-resistant. Dosage instructions state that adults and children 12 years or older should take orally 1 softgel preferably at bedtime for 2 to 3 days or until bowel movements are normal or as directed by a doctor. Children under 12 years old should not use this product unless directed by a doctor. SAFECER also warns its customers not to use this product if they are currently taking mineral oil, when abdominal pain, nausea or vomiting are present, or for longer than 1 week unless directed by a doctor. If pregnant or breastfeeding, it's recommended that customers ask a health care professional before use. If you have rectal bleeding or fail to have a bowel movement after using this product, stop use and immediately contact a doctor. In case of overdose, get medical help or contact a Poison Control Center right away. In the package, you should find a 100-unit dose softgels container. For identification purposes, each softgel will have an imprint that reads NV12. If you have any questions, you may call their toll-free number 800-447-1006.*

* 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.