Drug Ontology Parsing Engine (DOPE)

The goal of DOPE is to provide a structured vocabulary and tools to look up details on drugs tracked by the DEA. The data structure is:

Figure 1. Detailed view of data structure can be seen on the package website.

Installation

Official Release

You can install the released version of DOPE from CRAN with:

Development Release

Run these two lines of code to install DOPE from GitHub (this requires RTools for Windows or Xcode for Mac to be installed on your computer):

if (!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("labouz/DOPE")

Examples

You can look up details on a drug with the lookup() function. It will check brand, generic and street names.

library(DOPE)
lookup("adderall")
lookup("ketamine")
lookup("auntie")

The lookup funciton supports vectorized lookups:

library(DOPE)
lookup("cheese", "pizza", "with", "a", "soda")
lookup(c("Buprenorphine", "Tramadol", "Bup/Nx"))

If your only care about the class and/or category and/or if you search returns many matches you can use the compress_lookup() function to drop columns and then remove duplicate rows.

lookup("cheese", "pizza", "with", "a", "soda") %>%
  compress_lookup(compressClass = FALSE,
                  compressCategory = TRUE,
                  compressSynonym = TRUE)

DOPE now allows for parsing out drug names from a vector which contains free text with the parse() function. You can use it in conjunction withlookup() and compress_lookup()

data(drug_df)
parse(drug_df$textdrug[1:5]) %>%
  lookup()