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. 2022 Apr 13;5(1):76–84. doi: 10.1159/000524057

Table 2.

Effects of flower characteristics on symptom relief

Outcome = symptom change (ending – starting symptom) (1) (2) (3) (4)
Panel A: labeled plant phenotype, omitted category = hybrid
C. indica 0.073 0.425
(0.097) (0.309)
C. sativa 0.034 0.001
(0.076) (0.229)

Panel B: combustion method, omitted category = joint
Pipe –0.040 0.812**
(0.129) (0.401)
Vape 0.292** 1.288**
(0.118) (0.519)

Panel C: THC and CBD, omitted categories = THC <10% and CBD <1%
THC 10–19% 0.125 0.072
(0.254) (0.244)
THC 20–35% –0.049 0.022
(0.268) (0.269)
CBD 1–9% –0.278 –0.401*
(0.204) (0.241)
CBD 10–35% 0.226 0.132
(0.188) (0.191)
Starting symptom level –0.668*** –0.666*** –0.660*** –0.606***
(0.026) (0.026) (0.063) (0.068)
Log dose –0.206*** –0.227*** –0.199 –0.171
(0.067) (0.067) (0.157) (0.171)
Constant 0.902*** 0.853*** 1.030** –0.257
(0.211) (0.203) (0.522) (0.726)
Sessions, n 3,493 3,647 724 632
R 2 0.286 0.289 0.270 0.257
Users, n 1,113 1,141 311 270

All regressions are estimated using a fixed-effects model. C. indica and C. sativa are relative to hybrid, THC categories are relative to THC between 0 and 9%, CBD categories are relative to 0% CBD, and pipe and vape are relative to joint. Standard errors, clustered at the individual user level, are shown in parentheses.

***

p < 0.01.

**

p < 0.05.

*

p < 0.10.