Product Images Haloperidol Decanoate
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Product Label Images
The following 7 images provide visual information about the product associated with Haloperidol Decanoate NDC 70518-3170 by Remedyrepack Inc., 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.
Molecular Description - 30b37f52 7694 4db6 aa60 4b1c294061da 01
Step-1 - 30b37f52 7694 4db6 aa60 4b1c294061da 02
Step-2 - 30b37f52 7694 4db6 aa60 4b1c294061da 03
Step-3 - 30b37f52 7694 4db6 aa60 4b1c294061da 04
Step-4 - 30b37f52 7694 4db6 aa60 4b1c294061da 05
MM2 - Haloperidol Decanoate 100mg(base) mL 70518 3170 01
-mL_70518-3170-01.jpg "Haloperidol Decanoate 100mg(base)-mL_70518-3170-01.jpg")
Haloperidol Decanoate is an injection medication with NDC#: 70518-3170-01, manufactured by Somerset Therapeutics LLC, Mendham, NJ. It should be kept out of the reach of children and not refrigerated or frozen. The medication has a concentration of 100mg per mL, and should be protected from light. Dosage and usage instructions are provided in the package insert. Storage should be done at 20-26°C with excursions permitted up to 15-30°C according to USP. LOT# and expiration date are provided, and the product is for intramuscular use only. The rest of the text is not available or not reliable.*
Remedy_Label - Remedy Label
Haloperidol Decanoate is a medication available in injection form for intramuscular use. It contains 100mg(base)/mL and is manufactured by Somerset Therapeutics LLC. It is important to keep this medication out of reach of children and not to refrigerate or freeze it. The medication should be stored at a temperature between 20-26°C (63-77°F) with excursions permitted to 15-30°C (59-86°F). The package insert should be consulted for directions for use. The provided NDC number is 70518-3170-00, and the LOT number and expiration date are not available.*
* 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.